Carole Ferret

Keywords: nomadic pastoralism, ethnography, historical continuity, dual synchrony, Kazakhstan, postsocialism, transhumance

Introduction

Nomadic pastoralism had long been the main activity among the Kazakhs, who have been seen as typical steppe nomads. Yet this figure of 'the steppe nomad' is often invoked ahistorically, and is loaded with a number of stereotypes, rooted in a portrayal of nomadic pastoralism as a primitive, wandering, predatory activity, radically opposed to sedentary agriculture and subject to a strict ecological determinism (a critique that I develop further in Ferret 2012). These prejudices, which are obvious in the political rhetoric that successively blames or celebrates nomadism, but are also present more subtly in the scientific literature, should be rejected in order to study nomads in their reality and with their historicity (Ferret 2016). Contrary to implicit assumptions, studies from the Bronze Age to the twentieth century show that there probably never was a golden age when strict or pure nomadism was practised throughout the territory of present-day Kazakhstan, followed by a one-directional evolution from a nomadic to a sedentary way of life. Instead, there has been a persistent diversity of forms of nomadic pastoralism, with changing degrees of mobility. This diversity is mainly related to local environmental conditions and individual socio-economic situations.

After independence in 1991, Kazakhstan celebrated nomadism as the foundation of the nation's identity. Yet this presentation of the nomadic heritage did not break with a persistent evolutionary perspective stigmatizing nomadic pastoralism for its backwardness and relegating it to the past. It thus reveals the intrinsic ambiguity of this historical appropriation (Ferret 2016). Moreover, the celebrated figure of the nomad in national culture was largely divorced from current nomadic practices. Indeed, there is a striking contrast between the widespread celebration of nomadism and the near-total lack of ethnographic studies about present-day forms of nomadism, as though they did not exist in Kazakhstan. Apart from the role assigned to nomadism in nation-building and in the 'invention of tradition' (Hobsbawm 1983, 1-14), scholars should also address the current p.503 p.504

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Carole FERRET situation of mobile pastoralism in Kazakhstan through detailed case studies. In today's Kazakhstan, nomadic pastoralism is not only an aspect of heritage. It is also an existing, though minor and comparatively unacknowledged, reality.

At the end of the nineteenth century, the Kazakhs already practised various forms of nomadic pastoralism, sometimes combined with agriculture, and only a minority of them were nomads in the strict sense of year-round mobility without any fixed settlement (Ferret 2014). Nowadays the Kazakhs have a sedentary way of life, and husbandry no longer plays the primary role in the economy of the country, which has grown notably richer than neighbouring republics of Central Asia. The majority of the rural population in Kazakhstan continues to own at least a few head of livestock, and some urban dwellers even possess enormous herds. Only a tiny minority of stock breeders now regularly moves with their herds and flocks, but some of them still do, and their mobile way of life is to a certain extent similar to what was practised a century ago. This article examines the diversity of forms of Kazakh pastoralism. It draws on a detailed investigation of a transhumance in which I took part in south-eastern Kazakhstan in June 2012 and explores the organization of life on a zhaĭlau (summer pastures and campsite), 1 comparing these to information collected for the same area in 1910. This ethnographic account shows how mobile pastoralism still lives on in Kazakhstan, although it has undergone successive crises during the twentieth century due to Russian colonization, Soviet collectivization, and finally privatization in the 1990s.

Spatial and temporal variation in Kazakh nomadic pastoralism

The environment in which the Kazakhs live consists mainly of steppe, desert and semidesert favourable to mobile pastoralism. According to Soviet scholars, steppe lands constitute 30% of the territory of Kazakhstan, and deserts, 47%, with an average annual precipitation of 200-300 mm on the steppe and 100-200 mm in the deserts (Kurylev 1998, 24-6). Nomadic or mobile pastoralism can be defined as a way of life based on the extensive husbandry of herds of herbivores [START_REF] Bonte | La 'formule technique' du pastoralisme nomade[END_REF], and distinguished by residential mobility. Caroline Humphrey and David Sneath have suggested replacing the word nomadism by mobile pastoralism, as the category of nomadism was 'imagined by outsiders' and 'has ceased to be useful analytically ' (1999, 1). Some practices can nevertheless still strictly speaking be described as nomadic provided that whole families move with the livestock, not only professional herders as in transhumance. The regular movement of herds and people enables the optimal exploitation of rangelands, avoids exhaustion of natural resources, and minimizes the need for fodder. Nomadic pastoralism works on the following principle: at any time during the year, the livestock has to be in the most favourable place; that is to say, herds must be moved from one seasonal pasture to another. In Kazakh these are the qystau in winter, kökteu in spring, zhaĭlau in summer, and küzeu in autumn (Erofeeva 2011, 100-49).

2 Various criteria determine the quality of pasture for a given season, including topography, vegetation, watering places, winds, snow cover and absence of insects. The most sought-after land is for winter pastures, which have to combine several conditions that are seldom all found together: good conservation of the plant cover to ensure winter grazing, and a thin layer of snow, preferably swept by winds yet protected from snowstorms (Rumiantsev 1912, I: 154). At the turn of the nineteenth and twentieth centuries, Kazakh groups from the three hordes (Kaz. zhüz) generally followed two main types of nomadic itinerary: most often meridian (horizontal), from south in winter to north in summer, or, more seldom, altitudinal (vertical), from plains in winter to mountain pastures in summer. In both cases, herders left the driest areas in summer and the snowiest areas in winter. These two nomadic strategies, horizontal or vertical [START_REF] Johnson | The nature of nomadism: a comparative study of pastoral migrations in Southwestern Asia and Northern Africa[END_REF]), tend to level off climatic variations which can be very harsh in such a continental climate. They also provide watering places for livestock: either natural (streams, lakes) or artificial (wells) [START_REF] Masanov | Kochevaia tsivilizatsiia kazakhov : osnovy zhiznedeiatel'nosti nomadnogo obshchestva. Almaty -Moskva: Sovinvest -Gorizont. Materialy po kirgizskomu zemlepol'zovaniû, sobrannye i razrabotannye èkspeditsieĭ po issledovaniû stepnykh oblasteĭ. 1898-1909[END_REF]. The amplitude of meridian itineraries ranges from 15 to 800 km, whereas altitudinal itineraries are usually shorter (15-100 km).

As a rule, nomadic itineraries were stable, with people returning to the same places every year. But the calculations that determined these itineraries were complex, and the forms of mobility diverse, ranging from strict nomadism in which stays did not exceed three months in one place, to several forms of semi-nomadism in which only part of the population moves with the livestock, or one of the seasonal stays exceeds three months, to transhumance, in which only professional shepherds move with the herds, while the rest of the population is sedentary and resides year-round in villages.

3 This variety is commonly explained as reflecting differential Russian influence. However, considering that the first systematic large-scale statistical surveys on Kazakh nomads date from the end of the nineteenth century, comparison with earlier times is difficult.

To estimate available arable lands, numerous detailed inquiries were conducted during the Russian colonization of Central Asia (Materialy 1898(Materialy -1909;;[START_REF] Rumiantsev | Materialy po obsledovaniû tuzemnogo i russkogo starozhil'cheskogo khoziaĭstva i zemlepol[END_REF]Rumiantsev [1911-16]-16]; and their analysis in Dakhshleiger 1980;Tolybekov 1971;[START_REF] Masanov | Kochevaia tsivilizatsiia kazakhov : osnovy zhiznedeiatel'nosti nomadnogo obshchestva. Almaty -Moskva: Sovinvest -Gorizont. Materialy po kirgizskomu zemlepol'zovaniû, sobrannye i razrabotannye èkspeditsieĭ po issledovaniû stepnykh oblasteĭ. 1898-1909[END_REF][START_REF] Campbell | Settlement promoted, settlement contested: the Shcherbina Expedition of 1896-1903[END_REF]. These studies show that the most common nomadic pattern among Kazakh pastoralists at the beginning of the twentieth century was what I call 'quasi-nomadism', in which the whole human group moves with the livestock but stays from three to six months in the qystau, (winter place), where there may be permanent buildings (wooden or adobe houses, barns or corrals). The latter are not precluded by nomadism, which is primarily defined as a chronologically discontinuous occupation of space. Nor does nomadism preclude agriculture; nomadic routes simply have to pass by cultivated fields in time for ploughing, sowing, haymaking and harvesting.

The Kazakhs rear small livestock (sheep and goats) and large ones (cattle, horses, camels). These species are complementary and have a variety of uses. All of them provide various animal products (milk, meat, hair or wool, hides) and large livestock also provide energy (as pack, saddle or draught animals). The ratios of the species vary with environmental, economic and sociological conditions, and in accordance with individual wealth. The present geographical distribution of livestock is not very different from what it was a century ago, in spite of a general increase of cattle and decrease of horse and camel ratios (compare figure 1 to livestock distribution at the beginning of the twentieth century : Ferret 2014, 991). Agricultural Census of 2006. In Almaty oblast', the richest province in livestock units followed by Southern and Eastern Kazakhstan, cattle now predominate over sheep and horses, whereas in 1910 sheep predominated, followed by horses. Small livestock nevertheless plays a major role in the south of the country.

During the twentieth century, Kazakh nomadic pastoralism endured severe crises, with serious consequences for the population. Between 1822 and 1928 sedentarization was gradual: during Russian colonization, Slavic peasants' settlement reduced the amount of available pasture, sometimes cut off nomadic routes, and led to a general territorial delimitation, especially of winter pastures (Martin 2001, 74-83;Ohayon 2014). From 1929 it tragically intensified: livestock collectivization led to the great famine of 1931-1933, and finally to the exile or death of about a third of the Kazakh population [START_REF] Pianciola | Famine in the steppe[END_REF]Ohayon 2006;[START_REF] Cameron | The Kazakh Famine of 1930-33: Current Research and New Directions[END_REF]. The decimation of livestock due to requisitioning and illconducted collectivization suddenly deprived nomadism of its raison d'être (figure 2). Once animal husbandry was built up again in the 1940s, herds and flocks grew again and mobility was resumed among herdsmen and shepherds (Dienes 1975, 357-63;Alimaev and Behnke 2008, 163-5), but no longer concerned the rural population as a whole. In other words, Kazakh nomadic pastoralism evolved from quasi-nomadism into quasi-sedentarism or sedentarism with transhumance. 4 Sovietization was subsequently accompanied by more or less successful endeavours to intensify stock breeding, as in the rest of the USSR. These included: the development of fodder production; the importation of new breeds that were more productive but less hardy than local breeds and less well adapted to local climatic conditions; the dominance of productivity as the primary goal (livestock reproduction rates; production of milk, meat and wool); and specialization of professions in animal husbandry (Ferret 2017). Intensification and specialization led to a reduction not only of livestock mobility but also, and above all, of people's mobility. The Kazakh population became largely sedentary. The semantic change of the Kazakh word auyl, from a 'nomadic unit' to a 'village', reveals this evolution [START_REF] Ohayon | Du campement au village : sédentarisation et transformations de l'aoul kazakh à la période soviétique[END_REF]). The herds of the kolkhozes and sovkhozes grew; livestock numbers reached their peak in the 1980s. Herds were still moved from seasonal pastures to others, following a plan of rotational grazing on rangelands, but henceforth they were watched only by specialized professional herders who moved with them: Kaz. qoĭshy, shopan (Rus. chaban) 'shepherd'; Kaz. zhylqyshy (Rus. tabunshchik) 'horse herd' and Kaz. siyrshy (Rus. skotnik) 'cowherd' (figure 2). After independence in 1991, privatization, the reverse of collectivization, also led to a severe fall in livestock numbers and a new reduction in mobility [START_REF] Robinson | The impacts of de-collectivisation on Kazakh pastoralists: Case studies from Kazakhstan, Mongolia and the People's Republic of China[END_REF][START_REF] Robinson | Contraction in livestock mobility resulting from state farm re-organisation[END_REF][START_REF] Kerven | Retraction and expansion of flock mobility in Central Asia: costs and consequences[END_REF]Kerven et al. , 2006)). Therefore, when Kazakhs claim nowadays that they are nomads, this assertion has nothing to do with their present situation or with their actual residence pattern. Since 2000 livestock numbers have, however, been progressively built up, and some herders have again taken up a mobile form Carole FERRET of pastoralism. Present forms of meridian pastoralism have been studied by a multidisciplinary team in the Moiynkum District in south-central Kazakhstan (Kerven et al. 2016a(Kerven et al. , 2016b)). These case studies showed the pastoral exploitation of different eco-zones from south to north, offering seasonally-shifting advantages and disadvantages for the livestock. This exploitation depends not only on biophysical factors, but also on institutional and economic ones. The new pastoral elites, owning large flocks, have recently extended grazing sites further away from villages, colonizing former Soviet state-owned remote pastures. Yet no such survey has been conducted on vertical pastoralism in Kazakhstan. Though much more modest in its scale, this present case study in Raĭymbek District, mainly based on my field studies conducted in 2012 and 2013, aims to fill this gap.

Vertical pastoral nomadism in Semirech'e, from the Dzharkent

District in 1910 to the Raĭymbek District in 2012-13

Kazakhstan is mainly composed of low endoreic plains, but the eastern and south-eastern fringes differ from the rest of the country due to the presence of high-altitude mountains which favour vertical nomadism.

The province of Almaty is characterized by vertical climatic differentiation. The mean annual temperature drops by 0.4 -0.5 °C for every 100 m in altitude, and rainfall increases from 150-220 mm/y on the plains to 880 mm/y on the high mountain slopes. Stipa (feather grass) and Artemisia (sagebrush) are nevertheless found right up to high altitudes, as eternal snow is found 1000 m higher in the Tian-Shan than in the Alps (Akhmedova 1962, 13, 21) (Figure 3). Raĭymbek District, located at the south-eastern end of Almaty Province (and of the whole country) is exclusively rural. According to official data, in this district 99% of the population are ethnic Kazakhs (who constituted 63% in the country's total population in 2009 but only 36% in the 1979 census). In January 2012, 82% of households owned livestock: on average 4.64 head of cattle, 14.24 sheep and goats, and 2.72 horses in each household, the highest rates in the province. But wealth in livestock is unequally distributed, with some owners having more than a thousand head (table 1). A century ago this area was in the Dzharkent District (uezd) in the province of 'the Seven Rivers' (Kaz. Zhetysu, Rus. Semirech'e), after the Russian conquest in the 1850s. Territorial divisions have changed since then, but some comparisons are still valuable. In 1907, horses accounted for 10% of the total livestock, cattle 9%, sheep 69%, goats 12% and camels 0,2% (Obzor … 1907). The Dzharkent District was one of the richest Kazakh districts in terms of livestock, with 8.5 horses, 0.3 camels, 6.4 cattle and 63.8 sheep and goats per household [START_REF] Mel'nik | Preobrazhennaia step[END_REF]. With all species taken into account, livestock represented two horse equivalents per inhabitant. In this respect, the situation was similar to the present one. In 1910, Dzharkent District was the most nomadic in the province: only 3.6% of households were sedentary, although 68.5% practised agriculture [START_REF] Rumiantsev | Materialy po obsledovaniû tuzemnogo i russkogo starozhil'cheskogo khoziaĭstva i zemlepol[END_REF](Rumiantsev [1911-16]-16] Source [START_REF] Rumiantsev | Materialy po obsledovaniû tuzemnogo i russkogo starozhil'cheskogo khoziaĭstva i zemlepol[END_REF]: Rumiantsev [1911-16]-16].

p.510

Presenting the history of the Dzharkent uezd, created in 1882, Rumiantsev (1912, I: 20) shows that nomadic herdsmen and farmers succeeded and mixed with one another in the long term. After Kulzha was returned to China in 1881, the Kazakhs of the Atban and Suan clans settled on Russian territory, on the left and right banks of the Ili River respectively, whence the former chased Kirgiz of the Bogu clan towards the Przhevalsk uezd, and the latter chased other Kazakhs towards the Kopal uezd. Some Atban who had wanted to return to China in 1885 were pushed further to the west. Thus, Kazakh migrations between China and Russia, which have increased significantly since the 1990s with the arrival of the Oralman (see below), have a very long history.

Rumiantsev divided the uezd into eleven geographic areas, called 'historico-natural' zones (figure 4). The zhaĭlau I studied was in Zone IV, which Rumiantsev (1912, I: 71)at the time also characterized as a space reserved for summer grazing. In Karkara, in the south of Kegen, a big fair was held annually from 15 June to 15 August, at which animals and animal products were sold. The rich pastures could feed large numbers of livestock in the summer. These places, with their fauna and flora, as well as the system of the three Merke rivers we crossed during the transhumance in 2012, were also described by the Russian geographer and botanist P. Semenov-Tian-Shanskiĭ (1947,(164)(165)(166)(167) during his exploration of the Tian-Shan in 1856-1857.

In the naked plain

The village of Zhalanash is situated at the foot of the Kungeĭ Alatau, in a large plain watered by the Chilik and Charyn Rivers, the latter being famous for its impressive canyon. Zhalangash means 'naked, without trees' in Kazakh. In 2012, 50 households out of 786 practised mobile pastoralism and went to the mountain with their livestock in the summer. Some of them chose relatively close summer pastures, about 20-30 km from the village. Others, generally those who herded the biggest flocks, went to a big zhaĭlau, to the south near Kyrgyzstan, where stockbreeders from other villages also spend the summer. About thirty yurts are pitched in this zhaĭlau, along two tributaries of a stream. This zhaĭlau was very well-patronized during Soviet times, and there was even a shop in a yurt and public baths. But it was virtually deserted between 1995 and 2000 due to a lack of livestock.

In the 1980s the kolkhoz of the neighbouring village had nearly 60,000 sheep, 4000 cattle and 8000 horses. It was disbanded in 1995 and the livestock was distributed to former kolkhoz members, theoretically in proportion to their length of service. Since the flocks had been scattered, stockbreeders were no longer required to move with their flocks; state logistic support had disappeared and funds were lacking; animal husbandry crashed, and mobility was seriously reduced. In the 2000s herds and flocks were progressively rebuilt, with a higher ratio of cattle and a lower ratio of sheep.

Once livestock numbers had increased, seasonal movement of herds became necessary because of rangeland degradation around villages due to overgrazing [START_REF] Alimaev | Ideology, Land Tenure and Livestock Mobility in Kazakhstan[END_REF]. Pastures near the village were no longer sufficient to feed all the animals. As a rule, large flocks are more mobile than small ones. They belong either to one or several owners, often close relatives who form a 'peasant enterprise' (Rus. krestianskoe khoziaĭstvo). Small owners herd their livestock together and then either send them to mountain pastures, where they are herded by a shepherd, or keep them near the village all year long in a common herd (Kaz. bada), watched in turn by each of them according to a daily rota. If we compare human and livestock mobility, we see that in this village a majority of animals and a minority of inhabitants go to a zhaĭlau.

In 1994, soon after the collapse of the USSR, I conducted an ethnographic survey of horse-rearing and breaking-in techniques in this district. At that time, animal husbandry was in decline, but Kegen sovkhoz still existed. Winter and summer pastures were situated 20-120 km from one another, and this distance was covered in 1-3 days. I was at a zhaĭlau then, but I did not know how this vertical nomadism would evolve from that time onwards in this district. As we were working on a collective book about nomadism in Northern and Central Asia [START_REF] Stépanoff | Nomadismes d'Asie centrale et septentrionale[END_REF], I decided to take part in a transhumance (Kaz. kösh), and went to Zhalanash at the beginning of June 2012. In the village, it soon turned out that it would not be easy to find a shepherd who was getting ready to kösh and who would agree to take us with them. Some of the shepherds had already left; others were to go to the zhaĭlau later and were waiting for a wedding, for a recovery, for a funeral feast, for their son to return home, and so on. I noticed that stockbreeders were usually reluctant to set the day of transhumance in advance and to speak p.513

Mobile pastoralism a century apart

11/24 about it. On 13 June the mayor (äkīm) told us that a shepherd was getting ready to leave with a large flock and many horses. Ernar, an ethnographer from Almaty, and I hurried to the shepherd's qystau 5 km north of the village, in steppe covered by very short and sparse vegetation.

When we arrived at the qystau, there was no one except an old woman. She told us that the cattle had already left that morning and that the sheep would only go to the zhaĭlau the following week. In the neighbouring qystaus, situated one or two kilometres from one another, we were unable to find a way to travel to the zhaĭlau. a shepherd said that he would a truck there the next day at 4 a.m. Their flock had already left but he would take all the equipment there by truck, and pitch their yurt on the zhaĭlau before the flock's arrival. In this district transhumance has been partially mechanized since the 1960s. All equipment (yurt, tools and house implements, bedding [Kaz. körpe], carpets, furniture, metal stove, fences for livestock, etc.) is transported by trucks, whereas animals move on foot. Livestock species are sometimes separated (sheep and goats always being kept in the same flock) but usually move together.

The transhumance route is more or less the same for all the stockbreeders. This nomadic pattern takes advantage of altitudinal variations of climate and vegetation. There are, however, slight fluctuations: itineraries vary in length; the number of seasonal stations also varies (from two to five, usually three); and their nomadic moves vary in time, depending on the location of their stations and from year to year, depending on weather conditions and other circumstances.

During the winter the livestock and shepherds stay in the north, on a piedmont of the Tory Aĭghyr (Bay Stallion) Mountain on the south-facing sunny slope (Kaz. küngeĭ) where wind sweeps snow away, at an altitude of about 1500-1800 m. In spring and autumn they stay on the plain, at the lowest altitude (about 1300-1500 m). That is where the sparse vegetation, which dries out quickly in the summer, is richest in the intermediary seasons: in spring owing to the ephemeral plants, and in autumn thanks to the Artemisia (Akhmedova 1962, 37). In June they go south, to higher mountain pastures at an altitude of 2000-2500 m in the Kungeĭ Alatau. These places are inaccessible in winter because of deep snow, but, as herders say, this improves the quality of the grass. Summer is rainy, and animals fatten rapidly on rich green pastures, where insects are rare. Compared to the most common meridian nomadic pattern in Kazakhstan (winter in the south, summer in the north), these seasonal moves are thus reversed along a north-south axis, for more important than latitude here is altitude and the direction of the mountain slopes (winter on the south-facing slope -Kaz. Küngeĭ - and summer on the north-facing slope - Kaz. terīskeĭ). If we compare these findings with those of Rumiantsev in the early twentieth century, we note that this nomadic itinerary has hardly changed: '[In the Zone V] the nomadic camps of the Kirghizes [Kazakhs] are basically set as follows. On the slopes and passes of the Turaĭgyr [Tory Aĭghyr] and Kungeĭ Alatau Mountains we find the wintering of communities [obshchina] 78 to 92. On Mount Turaĭgyr, where there is little snow, we find the kstau [qystau] of sheep and goats, and on the Kungeĭ Alatau, those of the cattle. […] As soon as spring arrives the livestock is taken towards the huge Dzhalanash valley to benefit from the fast-growing and early-flowering vegetation (cruciferous, annuals with compound inflorescence, Boraginaceae, and some Gramineae). After ploughing, some of the nomads move towards the Karkara dzhaĭlau, while others go towards the high mountain plain where springs are found to the west of Zone V (dzhaĭlau n°6). Later, they go back down the dzhaĭlau via the same routes. Thus, the magnificent mountain pastures, the semi-deserted lands of the Turaĭgyr, and the lowlands of Dzhalanash are all necessary and exploited at the right time' (Rumiantsev 1912, I: 81).

The principles and the implementation of the vertical scheme of pastoral nomadism have thus been constant for a century, even though no more livestock is sent to the neighbouring district. Yet, somewhat paradoxically due to the specialization of livestock farming in the Soviet days, we currently do not find this system of dual wintering with such a distinct separation between species. I have tried to find out more precisely which Kazakh aul among the 152 clan communities described by Rumântsev in 1910 followed the same itinerary as the one I observed in 2012. The clan community (rodovaia obshchina) n°74, corresponding to administrative aul (administrativnyĭ aul) n°III 6 was particularly rich in sheep and mobile. It was composed of economic auls (khoziaĭstvennyĭ aul) 1 to 64, which wintered in the Turaĭgyr volost'. It consisted of 1021 individuals and 179 households, none of which were sedentary. They owned 190 yurts, two wooden houses and three adobe houses, 1203 horses, 122 camels, 800 cattle, 15,477 sheep, and 729 goats. They cultivated 3.64 ha of irrigated alfalfa and 2.48 ha of non-irrigated wheat, and in 1910 harvested 173 haycocks (kopna) used to feed their saddle horses. The rest of the livestock lived exclusively from grazing, and a part of them were sent to distant winter pastures (otgon) (1912, II: 208-17). As Rumiantsev describes the scene at that time:

'The land used exclusively by clan community n°74 is situated on the rocky ground of Turaĭgyr, which influences their lifestyle. The most striking characteristic of this community is their flocks: they have more than 86 head of sheep and goats per household, which, in addition to the other species, makes 26 horse equivalents per household. Due to these abundant herds and flocks, and the scarcity of plant cover, they have to organize their nomadic itinerary carefully to ensure that their animals are properly fed throughout the year. Three years ago the shortage of land pushed them to attempt a migration towards the Vernyĭ [Almaty] uezd, but they were unsuccessful in this endeavour. Their solution was to develop ovine rearing and to remain for long periods on common land. From early spring the herds go down into the Dzhalanash valley and graze near the Dzhuvan-tiube kurgan (kokteu-kuzeu n°V). They then go further down, first downstream and then upstream of the rivers Ken'su and Tobolgaty (dzhaĭlau n°V). From early September they move in the opposite direction towards their kstau. In total, the livestock spend almost nine months per year on the commons. In winter many nomads send their livestock to the Vernyĭ uezd (Sugatin volost') and to the place known as Dzherkyk in the Chilik volost'. The aim is to reduce to a minimum the stay on their own territory, so that the pastures can suffice for everyone. Everywhere the pastures are used by the whole community, without any distinction according to the economic aul. The fields cultivated by the community are situated at Dzhuvan-tûbe (kokteu-kuzeu n°V) and are worked by the few households who sow, on a first-come-first-served basis […]. There are almost no hay meadows: the community mows only at Ashchily-togaĭ in the Kurtogaĭ ravine in small quantities.' (Rumiantsev 1912, I: 256-7).

This description shows the pastoral strategy used by a nomadic community particularly rich in flocks: it increased its mobility in order better to exploit seasonal pastures of different tenure status. The itineraries of nomadic communities 75 and 76, which are smaller (15 and 30 economic auls, 641 and 674 inhabitants, 1994 and 1967 head of livestock counted in horse equivalents, respectively) are similar (see figure 6; Rumiantsev 1912, I: 257-8). This example, chosen due to the proximity of the itineraries of nomadic communities 74-76 recorded by Rumiantsev's expedition in 1910 in the Dzharkent uezd, along with the transhumance that I observed in 2012 in the Raĭymbek District, provides us with a very enlightening comparison with the current situation. A century later, many changes have occurred, notably regarding land and livestock property, but the same pastoral route is still used by the stockbreeders with the largest flocks (compare Figures 5 and6). Nowadays stockbreeders often have two houses: one in the village and one at their qystau. At their summer, spring and autumn stations, they live in yurts. After their departure they leave nothing at the zhaĭlau. Pens are dismantled and reassembled every time. Nothing is left but dark traces of the sheep pen and of the place of the yurt.

Transhumance itself is led only by men, but shepherds live with their wife and their young children at all seasonal stations. After the age of seven, children go to school in the village, where they live with other relatives and then join their parents at seasonal stations during holidays. This kind of mobile pastoralism can be called quasi-sedentary: the main part of the human group lives permanently in villages, but shepherds' families live with the livestock at seasonal stations.

Approximately half of these shepherds own the livestock they herd, while the others are salaried employees. Very often one of the siblings (the youngest brother according to the Kazakh rule of ultimogeniture) herds all the livestock of the extended family, while the other siblings stay permanently in the village. Many shepherds are employed by wealthy stockbreeders. But the distinction between livestock owners and salaried employees is not always very clear, because many salaried shepherds will also own at least a few of the animals they herd. For a lively picture of transhumance I will give an ethnographic account of the transhumance in which I participated in 2012.

On the way to the zhaĭlau

Returning to the village from the qystau, by chance we met a nomadizing caravan. They had left their qystau, situated 35 km north of the village, at 4 a.m. that morning. They were going to their zhaĭlau, walking at a very intense pace and thus covering almost 90 km in two days with their livestock. The chief shepherd agreed to let us go with them on foot, as there was no spare horse. So we joined the transhumance.

Everything was grey on the steppe that we crossed; not a uniform colour but a combination of tints with alternating light and shade. In the short and discontinuous ground cover, aromatic Artemisia (Kaz. myq zhusan) predominated with its small grey-green pennate leaves, with rare Stipa (Kaz. shi) tall bushes here and there near water. Large dark clouds intermittently sprayed down heavy warm rain. In the distance, rainy areas and sunny ones broke apart. Rainbows appeared so often that nobody seemed to pay attention to them.

Five horsemen led a medium-sized flock of 470 sheep and goats (Kaz. otar), among which there were 320 ewes and 47 goats, along with 21 head of cattle (cows and calves), 13 horses, a donkey and a young dog. On seasonal stations several big and small dogs usually guard each camp but they seldom help with transhumance, where they are likely to cause trouble. This pup was supposedly learning to become a sheepdog but it sometimes bit the lambs without reason. We finally lost it in a village.

The chief shepherd, who was to herd this otar on the zhaĭlau, was the most experienced. His two sons, who had completed secondary school, helped him with the transhumance. The other two horsemen also had some livestock but not in this otar. The atmosphere was quite strained between them, particularly on the second day, because the men had been drinking and the chief shepherd criticized the others for treating the sheep too roughly. One of them had beaten a ewe so violently with a stick that he had broken its spine and the animal had to be slaughtered on the way. 7 Many animals had been hurt or were limping when we arrived. But the shepherd was not worried about them; he said: 'They will soon get better on the zhaĭlau'.

In this transhumance all species of livestock moved together. Horses often walked in front, then cattle, and the big livestock regularly left the small livestock behind. Shepherds usually rode behind the otar to drive them forward and to speed them up. From time to time they rode right or left after animals that were straying or had stopped, and then drove them back to the flock. They constantly whistled to stimulate the sheep and force them to keep up a rapid pace. Some of them cried 'qos, qos '. 8 As the animals became more and more tired, all possible means were used to quicken the pace: striking a stick among the flock, throwing something up in the air to frighten them, or fastening a jacket to the back of a sheep to surprise the others. Even the horn of a car overtaking the otar was welcome as it spurred the animals on.

On the first day we arrived near a river at 1 p.m. and broke for lunch to let the sheep cool down as sweaty animals must not enter cold water. Afterwards, in spite of intensive stimulation, the sheep refused to step into the river. According to the shepherds, these sheep were particularly timorous because they came from several owners' flocks. The Carole FERRET hierarchy within this otar had therefore not yet been established, and there was no serke (a castrated goat whose function is to lead flocks of sheep) with undisputed authority. Since sheep do not like to walk in front, each otar has several serke which lead the whole group.

One of the shepherds forced a goat to walk across the river, but it turned back. Then the cows decided to go but they stopped in the middle of the river on a small islet. Other shepherds surrounded the otar, shouting, whistling and whipping. At last a goat made up its mind and the whole flock followed it. During the transhumance we had to cross several rivers and streams, with the same difficulties. Sometimes a few animals were carried on horses across the stream to prompt others to follow them.

That night we stopped on a farm below a village. The sheep and cattle were brought into a large barn while the horses stayed outside. The next day we started off again at 4 a.m. As we advanced, the landscape changed completely. Green replaced grey; mountains replaced plains; and light replaced shade. The livestock seemed sorry to leave such rich and green pastures dotted with flowers, so quickly. Spurred on by horsemen, ewes tried to graze and lambs to suckle, on the move. From time to time the shepherds let them graze for a while. The route was lengthened to avoid damaging high meadows before haymaking (these hay plots have been privatized but are not fenced as a rule). As soon as the shepherds were sure that we would arrive before nightfall they slowed down our pace. At last a large beautiful panorama opened before us. Below we saw the confluence that indicated the beginning of the zhaĭlau. In fact we still had to walk for about three hours and to cross the stream five or six times to reach our place on the zhaĭlau, but all of us felt relief.

On the zhaĭlau

On the zhaĭlau, each shepherd has a defined place to which he returns year after year, though the precise place of each yurt may vary by a few tens of metres. Yurts are located quite far from one another (0,5-1 km) so as to give livestock enough grazing land and to avoid the mixing of different flocks. Some yurts are situated away from the path which goes along the stream, and many times across it. If you want to visit your neighbour, a constant activity at the zhaĭlau, you usually need a four-wheel-drive car, a donkey or a horse. From the first yurt downstream (at an altitude of 2060 m) to the last one upstream (at 2400 m), you have to walk more than two hours. This difference in height explains the different dates of nomadization. The first shepherds settle downstream at the end of May or the beginning of June and stay until the end of September or the beginning of October, staying up to four months on the zhaĭlau. But the last shepherds stay upstream less than two months (from the beginning of July to the end of August).

Land on the zhaĭlau is not privatized, but access is regulated. 9 Leases are provided for a period of 49 years and stockbreeders have to pay annual taxes on land. However, parcels are not physically delimited, and livestock graze freely without limits, apart from those imposed for convenience in herding. Individual allotment of parcels may sometimes change, as I noticed when I came back to this zhaĭlau in 2013. According to the äkīm (mayor), there are no more places available on this zhaĭlau but newcomers may still settle upstream on parcels that do not officially belong to the zhaĭlau area. In this case they buy an annual bilet (ticket) from the state forest agency (Rus. leskhoz), with no guarantee of renewal for the following year. For this reason stockbreeders prefer to obtain a lease on the zhaĭlau, on which the tax Few examples of yurts among those I visited on the zhaĭlau can be described here as characteristic cases. 10 The shepherd whose transhumance I took part in had been to that zhaĭlau for three years running. In the past he had worked in the kolkhoz and he was used to moving with flocks, but after the dissolution of the kolkhoz in 1995 he was sedentary, until 1999. He was then employed by a stockbreeder, a former sports teacher at the village school who had got rich and bought a second house in Almaty. According to common practice, the livestock owner has to provide the shepherd with a yurt. But this year the owner had kept his yurt in the village for his birthday party and given the shepherd only a tent, which was less comfortable, less warm, and not waterproof. In the mountains, the weather is rainy and nights are cold. Even in summer, stoves are lit at night. The owner had also not provided a solar battery as promised. Every month he came to the zhaĭlau to bring the shepherds food.

The shepherd lived on the zhaĭlau with his wife and with an assistant. The latter was Russian and had no home. He received no wages for his work, only board and lodgings. Shepherds' assistants are often poor single men; they have low social status and no genealogical ties with the livestock's owner.

11 The shepherd's wife milked cows, separated cream with a manual cream-separator and made butter. She did the cooking and the housework, whereas men took care of the livestock. They stayed on the zhaĭlau from 14 June to 15 September, and after the first snowfalls they went back to their autumn camp in the plain.

In August 2013 I again met this shepherd and his wife. Their yurt was set apart, quite isolated, between both tributary streams. They explained that they had changed employers because they wanted to live in a new place. Here they felt better; it was very quiet, far from other yurts. Their sons had not helped them with transhumance this year, as the elder one worked in Atyrau and the younger in Almaty.

The next yurt downstream could be distinguished by the red poles of its roof, its rich decorations and felt carpets (Kaz. syrmaq and tekemet). It came from China, like its owners, who were Oralman. Since independence, the government of Kazakhstan has followed a policy of immigration (or 'repatriation') of ethnic Kazakhs from abroad, giving Oralman public subsidies and housing support [START_REF] Bonnenfant | Constructing the homeland: Kazakhstan's discourse and policies surrounding its ethnic return-migration policy[END_REF]). In the Raĭymbek District most of the immigrants are Kazakhs from China, members of the dominant local lineage: Alban (< Ūly zhüz, 'Elder Horde'). These Oralman therefore claim that they are returning to their ancestral land. This family had received a parcel on the zhaĭlau in 2006. They were herding a largeotar of 900 head, half of which belonged to them and the other half to another livestock owner. They also had 20 horses. The head of the family had worked as a horse herder in China. There he had been accustomed to using pack animals (camels and cattle), whereas in the USSR transhumance had been mechanized since the beginning of the 1960s. In China privatization was introduced in 1983, and the lack of rangelands soon became obvious. According to this herdsman, these were the two main differences between pastoral systems, which otherwise were very similar in China and in Kazakhstan. In 2012 the aqsaqal (white beard), head of the family, and his elder son, with his wife and their three children (from 5 to 16 years old), lived in this yurt. In 2013, the son lived apart with his family, in another yurt, far downstream, where they herded another owner's livestock, while the aqsaal lived in the same yurt with other relatives. In a third yurt downstream lived a couple with their four children and the maternal grandmother. The husband had formerly worked in the kolkhoz as a shepherd. In 1996 he and his two brothers had set up a peasant enterprise. His wife was a doctor but no longer worked. They were herding the livestock of their extended family (300 sheep, 30 cattle and 25 horses). The other brothers lived in the village. They came to help them when necessary, particularly for transhumance, and they took charge of hay-making. The flock was common, but all decisions were made by the elder brother. In October and November they put up their yurt in the valley, 50 km from the zhaĭlau, and for the rest of the year they lived at winter station, 85 km from there. In 2013 they milked four mares and made qymys (fermented mare's milk), but in 2012 they could not, because all their mares had miscarriages after a zhūt (livestock losses due to bad climatic conditions). The following winter was cold but shorter, making lambing easier and livestock numbers had grown by 15% in one year.

Daily life on the zhaĭlau is governed by the rhythm of regular activities: herding, watching livestock, milking, taking care of animals. Most households have both small livestock, which need constant watching and are kept in a pen at night, and large livestock, which freely graze and roam. For the large livestock, the main concern is to separate milking females from young animals. Most sheep are of the arharo-merinos breed, created in Soviet times to increase wool production. Nowadays sheep are exploited for meat, because wool prices are very low, but the breed has remained the same. Only a minority of large livestock is milked for subsistence and for making butter and qūrt, a kind of dried cheese. The remoteness of the zhaĭlau and the lack of roads make the sale of fresh milk unfeasible. Milk belongs to whoever has done the milking, whether they own the cow or not. Making qymys is a tedious task and requires frequent milking. Only one household in four produces qymys, but everyone drinks it during the frequent visits to neighbours on the zhaĭlau.

Conclusion

This field study, which warrants further inquiry into social and territorial organization on the zhaĭlau (Ferret 2017), presents an example of mobile pastoralism in present-day Kazakhstan. It also reveals the relative continuity since 1910 in the pastoral practices of this mountainous district of south-eastern Kazakhstan. This historical continuity is remarkable in view of the political, social and economic upheavals of the twentieth century (collectivization, intensification of animal husbandry, and then privatization). The system of seasonal pastures, herds' composition, and nomadic routes have barely changed. As a former kolkhoz shepherd who is now employed by a private livestock owner commented: 'What has changed [since the end of the USSR]? Today I am free to change my employer if I don't like him.' Pastoral itineraries are sometimes more, sometimes less used by livestock and by people, depending on the current situation of animal husbandry and on the current socio-economic system, but they remain unchanged because they are most suited to the environmental conditions, optimally exploiting the vertical zoning of vegetation and the orientation of mountain slopes. Here we don't observe in the span of one century the same reduction of distances as recorded in horizontal mobile pastoralism practised in the steppes of central Kazakhstan or in other areas of mountain pastoralism in High Asia. In short, there are significantly fewer people moving than in the past, but those who move don't cover any less distance than their predecessors.

Sedentary forms of pastoralism now prevail in Kazakhstan: small flocks and herds graze around villages, large ones around qystau or sometimes are led in transhumance by professional shepherds. In some areas a system of seasonal pastures follows a meridian axis, in other areas, an altitudinal one, both of which can be described as quasi-sedentary patterns. In agro-pastoral family enterprises a small part of the extended family lives with the livestock all year round on different seasonal stations, whereas the other members of the family stay in the village. Within one century, the predominant form of pastoralism has changed here from quasi-nomadism to quasi-sedentarism. The seasonal rotation of pastures partly endures, as does the primacy of winter stations, but only a minor part of the population now migrates between pastures.

The research outlined above shows that contemporary Kazakh mobile pastoralism is the result of an eventful history full of conflicting trends. The examination of a transhumance to this zhaĭlau shows, for instance, the impact of many developments: the mixture of Kazakh and Soviet methods of animal husbandry, the privatization of livestock in the 1990s, the growth of social inequalities, the new rules of land tenure, the recent repatriation of the Oralman, and the significance of kinship networks in the rural economy.

Ethnographic studies conducted a century apart in the same micro-field can also reveal large-scale and long-term changes. The comparison of two snapshots, taken in 1910 and in 2012, does not imply that the Soviet experience should be seen merely as a parenthesis. This methodological choice of a dual synchrony instead of diachrony (as would have been the study of the whole evolution from 1910s to 2010s, cf. Bosa 2011) aims instead to combine ethnography and history through the analysis of the same ethnographic field at different times. By bridging the gap between academic disciplines that have been insufficiently in dialogue with one another, such an undertaking can also illuminate the historicity of contemporary pastoral nomadism.

1 A part of this study has been published in French in a book dedicated to J.-P.Digard (Ferret 2015). 2 Transliteration from Cyrillic script mainly follows current Library of Congress conventions for Russian and non-Slavic (Kazakh) languages. 3 The analysis of various forms of nomadic pastoralism practised at the turn of the nineteenth and twentieth centuries by several Turkic-Mongol peoples in Siberia and Central Asia (Turkmens, Kazakhs, Kyrgyz, Khakas, Buriats, Tuvans, Mongolians and Yakuts) allowed me to identify several types of nomadism, the definition of which is mainly based on residential mobility (Ferret 2014; see also Stépanoff et al. 2013, 38-42). These include: -strict nomadism: the whole population of the group moves all year round on stable itineraries, without staying more than three months at the same place -quasi-nomadism: all the population moves with the livestock, with a fixed settlement during one season (with or without permanent buildings) -semi-nomadism: a minority of the population remains throughout the year at the same place, the others moving with the livestock -semi-sedentarism: with two settlements, all the people move back and forth between a winter place and a summer place -quasi-sedentarism: the population remains at the village all year long, except a minority of families, who move with the livestock p.522 20/24 Carole FERRET -sedentarism: the whole population stays all year round at the same place, except the shepherds who accompany the movements of the livestock during transhumance. 4 As explained in note 3, these categories reflect mobility patterns to distinguish more rigorously between nomadism and pastoralism, which are connected but distinct phenomena. If we include activities other than animal husbandry, such as crop cultivation; and livestock and land property, etc., these changes would be described differently. For instance, according to Kreutzmann's categorization of vertical mobile pastoralism in High Asia, which aims to describe agriculture in a high mountain environment and therefore can be applied only in a small part of Kazakhstan, where altitudes are lower in any case (Ehlers and Kreuzmann 2000, 13-9;Kreutzmann 2004, 54-7;Kreutzmann 2012,7-13), we would say that in this area, mobile pastoralism evolved from a mix of 'classical mountain nomadism' and 'combined mountain agriculture' at the beginning of the twentieth century, to 'transhumance' or 'detached mountain pastoralism' in the second part of the twentieth century, and finally to a mix of 'combined mountain agriculture' and 'transhumance' at the beginning of the twenty-first century. 5 The word transhumance has various and contradictory definitions. Some authors use it in a broad sense (e.g. Tim Ingold), others in a strict sense (Hermann Kreutzmann). Here I understand it, like many French ethnologists, first as a system where only professional herders or shepherds move with the livestock, and second as the precise moment when they move from seasonal pastures to other ones. According to this definition, transhumance is not vertical, and it does not necessarily presume that shepherds don't own flocks. 6 The census published in Materialy … (1898-1909;[START_REF] Rumiantsev | Materialy po obsledovaniû tuzemnogo i russkogo starozhil'cheskogo khoziaĭstva i zemlepol[END_REF]; see also [START_REF] Sokolovskiĭ | Kazakhskiĭ aul[END_REF] uses the following units, broken down according to social, economic, genealogical and territorial criteria: khoziaĭstvo 'household' corresponds to a domestic unit, a family sharing the same dwelling (yurt); khoziaĭstvennyĭ aul 'economic aul' corresponds to a Kazakh aul (auyl), that is, a camp that groups together several households living close to one another during the cold season and then moving on together; (rodovaia) obshchina '(clan) community' is a lineage segment that shares the same territory and the same nomadic itinerary, and that groups together several economic auls; administrativnyĭ aul 'administrative aul' is an artificial unit, corresponding to no meaningful reality for the Kazakhs, grouping together several economic auls but which functioned de facto as the smallest administrative and territorial unit after the Russian conquest; volost' 'canton, rural commune' is a small territorial unit found throughout the Russian empire, which is smaller than the uezd 'district'. To simplify, these units can thus be grouped together and ranked: from the social and economic point of view khoziaĭstvo < khoziaĭstvennyĭ aul < obshchina; from the administrative and territorial point of view, adminstrativnyĭ aul < volost' < uezd. 7 This fact has several explanations: this man was neither the proprietor nor the herder of this flock; transhumance is a tense moment and the distance covered in one day was so great in this case that the shepherds had to hurry the animals; and treatment of animals is quite harsh in Central Asia. 8 On Kazakh vocalizations used to communicate with livestock, which vary according to the species and the required movements, see Ferret (2013, 85), and more generally with regard to Turkic people, see the work of Dor (2003, 399). 9 On the recent evolution of pastoral tenure in Central Asia, see [START_REF] Robinson | Pastoral Tenure in Central Asia: Theme and Variation in the Five Former Soviet Republics[END_REF]also Toleubayev et al. (2010, 361) on the ill application and effects of the 2003 Land Code. A new Law on pastures was passed in February 2017 in Kazakhstan, but its implications are not clear yet. 10 See a map of this zhaĭlau in Ferret (2017, 181). 11 Sokolovskiĭ (1926, 27) explains that Kazakh stockbreeders usually employed shepherds from other clans.

Figure 1 .

 1 Figure 1. Livestock in the provinces (oblast') of Kazakhstan in 2006. Map: C.Ferret. Source of data: Agency of Statistics of the Republic of Kazakhstan, NationalAgricultural Census of 2006. In Almaty oblast', the richest province in livestock units followed by Southern and Eastern Kazakhstan, cattle now predominate over sheep and horses, whereas in 1910 sheep predominated, followed by horses. Small livestock nevertheless plays a major role in the south of the country.

Figure 2 .

 2 Figure 2. Livestock numbers in the present frontiers of Kazakhstan (thousands of head). Source: Narodnoe … 1927; Narodnoe … 1987 and several years; Mel'nik 1967; Agency of Statistics of the Republic of Kazakhstan. Animal husbandry collapsed during the collectivization around 1930, after which it increased up to the 1980s, then collapsed again during privatization in the 1990s.

Figure 3 .

 3 Figure 3. Seasonal distribution of pastures in Almaty Province (from Akhmedova 1962, 64).

(

  next page) Figure 4. Map of the Dzharkent uezd with its 11 geographical zones defined by Rumiantsev. Map : C.Ferret. Thanks to Aset Temirgaliev and Gani Aldashev for finding the original map of Rumiantsev (1912, appendix), which I have adapted and simplified. Those of interest to us in this study are: zone V, corresponding to the right bank of the Chilik River, upstream; zone VIII on the left bank of the Ili, downstream of the mouth of the Charyn (the Chilik and the Charyn are two southern tributaries of the Ili); zone VI in the valley of the Shalkudysu-Kegen river (upstream of the Charyn); and zone IV on the Karkara high plateau.Rumiantsev's expedition aimed to gather data on environmental and living conditions in order to facilitate peasant settlers' migration to the oblast' of Semirech'e. At the same time, he identified seasonal pastures used by Kazakhs, and drew a distinction between where they were commons or only used by specific Kazakh communities (in the main part of the uezd, the latter formed long strips of land on a north-south axis). As shown in this map, Slavic peasant settlements often encroached on Kazakh common pastures (e.g. kökteu-küzeu near Zhalanash, see close-up in figure6).

  5

Figure 5 .

 5 Figure 5. Transhumance route and diagram. Map: C.Ferret

Figure 6 .

 6 Figure 6. Seasonal pastures of communities 74-76 (close-up of Map 3). Map: C.Ferret

  high and which assures long-term stability. Leases also give access to the corresponding transhumance route.

Table 1 . Population and agriculture at different territorial levels

 1

		population	surface (km 2 )	cattle	sheep	goats	horses	camels	pigs	head of livestock per inhabitant (in
										horse equivalent)
	Kazakhstan	16,675,400	2,700,000	5,702,400	15,197,000	2,895,000	1,607,40	173,200	1,204,20	0.62
				(21.3%)	(56.7%)	(10.8%)	0 (6%)	(0.6%)	0 (4.5%)
	Almaty	1,909,260	223,770	828,800	3,101,500 (71.4%)	239,000	62,200	111,800	0.85
	Province			(19.1%)			(5.5%)	(1.4%)	(2.6%)
	Raĭymbek	79,394	14,220	94,700	42,201,300 (73.4%)	57,925	0	0	2.61
	District			(16.5%)			(10.1%)
	Zhalanash	5,912	756	5,828	32,172	1,803	3,425	0	0	2.36
	rural council			(13.5%)	(74.4%)	(4.2%)	(7.9%)

, 1 January 2012.

Table 2 . Population and agriculture in Dzharkent District in 1910.

 2 , 140) (table 2).

		surface area of	cattle	sheep	goats	horses	camels	head of livestock
		agricultural land						per inhabitant
	Dzharkent	23,691 km 2 , of which	92,132	836,508	86,039	122,499	3,829	3.97
	District	1% fields	(8.1%)	(73.3%)	(7.5%)	(10.7%)	(0.3%)
		1% hay meadows
		98% pastures

This article challenges the ahistorical figure of the 'steppe nomad' by presenting some of the main characteristics of Kazakh nomadic pastoralism, which vary widely in time and space. It compares two ethnographic studies conducted a century apart in the same place in southeastern Kazakhstan: a statistical survey from 1910 and an account of a transhumance in which the author took part in June 2012. Sedentary pastoralism now prevails in Kazakhstan, but a system of seasonal pastures endures in some areas. In Raĭymbek District (Almaty Province), vertical nomadism takes advantage of the altitudinal variations of vegetation and climate. This article demonstrates both the continuity of nomadic routes despite successive crises during the twentieth century, and considers the overall change from quasi-nomadism to quasisedentarism. This comparison a century apart also fosters dialogue between history and social anthropology through a dual synchronic approach, seeking to restore historicity to our understanding of pastoral nomadism.


Saikou Y Diallo

Christopher J Lynch

Krzysztof J Rechowicz

Gregory Zacharewicz

HOW TO CREATE EMPATHY AND UNDERSTANDING: NARRATIVE ANALYTICS IN AGENT-BASED MODELING

In this paper we propose a different approach for interacting and analyzing agent-based models. The approach relies on creating empathy and understanding between physical agents in the physical world (people) and artificial agents in the simulated world (simulated agents). We propose a simulated empathy framework (SEF) in which artificial agents communicate directly with physical agents through verbal channels and social media. We argue that artificial agents should focus on the communication aspects between these two worlds, the ability to tell their story in a compelling way, and to read between the lines of physical agents speech. We present an implementation of the SEF and discuss challenges associated with implementing the framework in an artificial society.

INTRODUCTION

Agent based Models (ABM) are difficult to follow and understand during execution. This is partly due to the fact that they are constructed bottom-up so that aggregate behavior can emerge from behaviors and interactions of individual agents within a shared environments [START_REF] Epstein | Growing Artificial Societies: Social Science from the Bottom Up[END_REF][START_REF] Axelrod | Advancing the Art of Simulation in the Social Sciences[END_REF][START_REF] Epstein | Agent-Based Computational Models and Generative Social Science[END_REF]). As a result, agents with only a small set of simple rules can lead to interesting and complex behaviors at the system level [START_REF] Schelling | Dynamic Models of Segregation[END_REF][START_REF] Gilbert | Simulation for the Social Scientist[END_REF]. The state of the art in analyzing agent-based models consists of 1) using charts, graphs, and other visual aids to convey information about agents or the model or 2) making batch runs to collect data for further analysis by other means. However, even for simple models, it is challenging to understand and track the internal state of agents and the impact of interactions with other agents. In cases where we claim emergence, it is difficult to provide a satisfactory explanation that starts at the agent level and culminates at the emergent behavior because most agent-based platforms do not offer a means for social interactions with individual agents during execution or for obtaining a meaningful story from those agents during or after execution in the form of history.

Storytelling and narratives are an effective medium for communicating simulation events, interactions, and results to non-experts by raising interest, comprehension, and engagement [START_REF] Dahlstrom | Using Narratives and Storytelling to Communicate Science with Nonexpert Audiences[END_REF]. Storytelling has used games as a medium for years [START_REF] Manney | Empathy in the Time of Technology: How Storytelling Is the Key to Empathy[END_REF]) and has been explored as a promising avenue to assist in model conceptualization and communication between team members during design and implementation [START_REF] Padilla | Storytelling and Simulation Creation[END_REF]. Agent history can be conveyed either 1) chronologically as news, 2) from the vantage point of a single actor, or 3) from a global point of view [START_REF] Axelrod | Advancing the Art of Simulation in the Social Sciences[END_REF]. Simulations can be rerun to experience alternative histories, compare histories, and view the effects of altering the model's parameters on the resulting history. This can assist in identifying patterns within the model or inequalities among the agents. Traces track the characteristics of agents or the model over time to determine if the logic is correct and the simulation produces believable values [START_REF] Epstein | Growing Artificial Societies: Social Science from the Bottom Up[END_REF][START_REF] Balci | Verification, Calibration, and Testing[END_REF][START_REF] Kemper | Trace Based Analysis of Process Interaction Models[END_REF][START_REF] Gore | Applying Statistical Debugging for Enhanced Trace Validation of Agent-Based Models[END_REF]. However, the large volumes of data created through trace validation is difficult to analyze and can be burdensome to interpret [START_REF] Courdier | Agent-Based Simulation of Complex Systems: Application to Collective Management of Animal Wastes[END_REF][START_REF] Xiang | Verification and Validation of Agent-Based Scientific Simulation Models[END_REF]. Conveying narrative results of simulation runs can be too lengthy to convey with appropriate detail since descriptions of one or more simulation runs' histories can require a significant amount of space [START_REF] Axelrod | Advancing the Art of Simulation in the Social Sciences[END_REF].

In this paper, we propose a conceptual switch to distinguish between physical agents who are people in the real world and artificial agents who are entities in the simulation world. In this conceptual arrangement, the goal is to create meaningful interactions between these two worlds during runtime to generate mutual understanding or empathy. Agents in the real world empathize with agents in the simulation world by experiencing their stories and their environment whereas agents in the simulation world empathize with agents in the real world by understanding their intent and providing them with the information they need.

To that end, we propose a Simulated Empathy Framework (SEF) where physical agents can have personal and social interactions with artificial agents. The SEF relies on storytelling and narratives to create empathy and increase understanding between the two agent types. The balance of the paper is organized as follows: Section 2 presents background information on the state of the art in analyzing agent-based models; Section 3 describes the proposed SEF, a simple implementation, and a discussion; and we conclude in Section 4.

BACKGROUND

Agent-based Modeling allows for the rules at the individual level to produce system level behaviors [START_REF] Epstein | Agent-Based Computational Models and Generative Social Science[END_REF][START_REF] Ferber | Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence[END_REF]); however, agent based models do not generally have built-in approaches for collecting and tracing agents throughout runtime. Current approaches for searching for individual level emergent behaviors generally focus on graphically tracking some attributes of an agent [START_REF] Courdier | Agent-Based Simulation of Complex Systems: Application to Collective Management of Animal Wastes[END_REF][START_REF] Lynch | Identifying Unexpected Behaviors of Agent-Based Models through Spatial Plots and Heat Maps[END_REF] or analytically searching the behavior space of an agent to discover interesting or relevant behaviors [START_REF] Diallo | Formal Methods, Statistical Debugging and Exploratory Analysis in Support of System Development: Towards a Verification and Validation Calculator Tool[END_REF][START_REF] Gore | Applying Statistical Debugging for Enhanced Trace Validation of Agent-Based Models[END_REF]. Both techniques utilize aspects of trace validation to collect information on agents and aggregate behaviors to provide insight into a modeling question. The results obtained largely focus on aggregate outcomes from the simulation's populations or the aggregated outcomes collected from multiple runs. Both approaches are powerful in providing partial explanations of aggregate behaviors through correlations, structural equation modeling, or statistical debugging. However, they lack the ability to provide satisfactory explanations of lifetime choices of agents.

Several factors hinder our ability to comprehend and explain an agent-based model. The most prevalent factor results from a conflicting perception that known macro level behaviors being modeled may be well understood but the mechanisms that lead to these behaviors may not be known [START_REF] Bonabeau | Agent-Based Modeling: Methods and Techniques for Simulating Human Systems[END_REF][START_REF] Takadama | Micro-and Macro-Level Validation in Agent-Based Simulation: Reproduction of Human-Like Behaviors and Thinking in a Sequential Bargaining Game[END_REF]. Some expected behaviors and types of interactions among the agents within that system may also be known or are assumed to be understood. Muddling this understanding is that 1) modelers may have incorrect, incomplete, or contradictory knowledge about the system; 2) there is disagreement among stakeholders on how to address the problem or over which problem to solve [START_REF] Lynch | A Multi-Paradigm Modeling Framework for Modeling and Simulating Problem Situations[END_REF]; 3) there are conflicting model characteristics that present verification and validation challenges [START_REF] Lynch | A Taxonomy for Classifying Terminologies That Describe Simulations with Multiple Models[END_REF]; 4) there are challenges resulting from simplifying the set of agent behaviors; 5) there are difficulties in examining the combinations and sequences of events leading to system level outcomes [START_REF] Gore | Applying Statistical Debugging for Enhanced Trace Validation of Agent-Based Models[END_REF]); and 6) there are challenges due to model components changing over time [START_REF] Sargent | Some Subjective Validation Methods Using Graphical Displays of Data[END_REF].

Visualization can provide clear insight on why simulations behaves in unexpected ways. Visualization enhances the experience of model execution by graphically representing parameter levels, distributions, network relationships, and interdependencies [START_REF] Wenzel | Visualization for Modeling and Simulation: A Taxonomy of Visualization Techniques for Simulation in Production and Logistics[END_REF]. This is accomplished in part by placing the simulation in context by co-locating different types of data within the simulation to gather explanations [START_REF] Sokolowski | The Significance of Modeling and Visualization[END_REF]. Animation provides the ability to observe how the system functions and helps to communicate results [START_REF] Rohrer | Seeing Is Believing: The Importance of Visualization in Manufacturing Simulation[END_REF]. Some of the more commonly used techniques for visual insight include scatter plots, histograms, box plots [START_REF] Sargent | Some Subjective Validation Methods Using Graphical Displays of Data[END_REF], bar charts, icon-based displays, dense pixel displays [START_REF] Keim | Information Visualization and Visual Data Mining[END_REF], data maps, and time-series plots [START_REF] Forrester | Industrial Dynamics[END_REF]. These techniques utilize datasets dependent upon size, type, or dimensionality [START_REF] Keim | Information Visualization and Visual Data Mining[END_REF] for creating representations. [START_REF] Vernon-Bido | Effective Visualization in Modeling & Simulation[END_REF] identify poor visualization choices and misrepresenting model components as potential visualization downfalls by adding additional levels of complexity to the model.

Several efforts exist to provide interfaces for collecting, analyzing, and interpreting ABM data. [START_REF] Xiang | Verification and Validation of Agent-Based Scientific Simulation Models[END_REF] present a validation process for analyzing a natural organic matter model by using traces, graphs, charts, and model-to-model comparisons. Graphical charts test if the produced data curves match the expected normal distribution curve. This approach is suitable for inspecting population level statistics. [START_REF] Courdier | Agent-Based Simulation of Complex Systems: Application to Collective Management of Animal Wastes[END_REF] use the Geamas Virtual Laboratory (GVL) tool to collect traces of an ABM for analyzing animal wastes management. They collect sets of messages exchanged or historical accountings of one or more agents. Visualization tools filter information based on specific characteristics and identify successful agent negotiation interactions. The GVL tool becomes unwieldy over several dozen agents. [START_REF] Lynch | Identifying Unexpected Behaviors of Agent-Based Models through Spatial Plots and Heat Maps[END_REF] explore the use of heat maps and spatial plots to visually represent the aggregate behaviors or aggregate distributions of agents throughout their environment during runtime. This approach to convey agent data helps illuminate pockets of the population that are grouping at specific geographic locations within the environment dependent upon their internal characteristics. They provide an example that visually compares the spatial distribution of obese agents (based on each individual's weight) against the spatial distribution of fast food restaurants within the environment.

Statistical debugging has also been utilized for analyzing simulation data. Initial applications of predicated-level statistical debugging are explored within software engineering [START_REF] Gore | Statistical Debugging with Elastic Predicates[END_REF][START_REF] Gore | Reducing Confounding Bias in Predicate-Level Statistical Debugging Metrics[END_REF] and later applied to simulations (Gore et al. 2015;[START_REF] Diallo | Formal Methods, Statistical Debugging and Exploratory Analysis in Support of System Development: Towards a Verification and Validation Calculator Tool[END_REF]. This method requires users to specify success and fail criteria within the execution and then collect input and output values generated during the simulation run. These values are then compared against the success/fail criteria in order to identify suspicious input or output values which are the parameters, behaviors, or agents commonly associated with failing cases [START_REF] Gore | Statistical Debugging with Elastic Predicates[END_REF]Gore et al. 2015). [START_REF] Gore | The Need for Usable Formal Methods in Verification and Validation[END_REF] apply statistical debugging at the individual level to identify unexpected behaviors within a model of obesity. [START_REF] Diallo | Formal Methods, Statistical Debugging and Exploratory Analysis in Support of System Development: Towards a Verification and Validation Calculator Tool[END_REF] use statistical debugging at the model level to identify unexpected outcomes within an agent-based model of the Ballistic Missile Defense System. This approach uses input/output comparisons of numerous runs to identify input configurations that consistently lead to suspicious outcomes and allowed for an efficient examination of 1723 simulation runs. [START_REF] Diallo | Formal Methods, Statistical Debugging and Exploratory Analysis in Support of System Development: Towards a Verification and Validation Calculator Tool[END_REF] present a V&V Calculator to examine trace data and provide statistical measures on characteristics that are likely contributors to model behaviors. [START_REF] Gore | Applying Statistical Debugging for Enhanced Trace Validation of Agent-Based Models[END_REF] extend this process to provide a structured approach for specifically examining traces of agent and/or model characteristics from agent-based models.

Beyond visual inspection, audial feedback provides feedback on individual level events. [START_REF] Rauterberg | Positive Effects of Sound Feedback During the Operation of a Plant Simulator[END_REF] use sound feedback to increase communication, improve plant operator performance, and affect aspects of mood to increase positivity in plant operators. They observed that sound was adapt at providing feedback on simultaneous events, a finding that is directly applicable to providing information on agent populations during execution. Sound based feedback has been explored for its ability to assist in collaboration by providing a non-intrusive awareness of ongoing events and encouraging joint problem solving [START_REF] Gaver | Sound Support for Collaboration[END_REF]. [START_REF] Gaver | Effective Sounds in Complex Systems: The Arkola Simulation[END_REF] found that sound was beneficial for separately examining discrete processes within a simulation or to cumulatively examine the simulation as a whole.

Narratives and storytelling are used for conceptualizing and sharing models. Padilla et al. ( 2017) examine the use of narrative and storyboarding for conceptualizing and designing simulations. Games, as a form of storytelling, are used to teach simulation concepts ranging from teaching Discrete Event Simulation in general [START_REF] Padilla | Using Simulation Games for Teaching and Learning Discrete-Event Simulation[END_REF] to teaching the concepts of delay and feedback within System Dynamics [START_REF] Sterman | Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment[END_REF]). However, to our knowledge, we are unaware of studies where artificial agents provide narratives or stories back to the physical agents from their own perspectives.

With an increasing variety of social media platforms and access to information posted directly by people about their daily lives, key events, and their likes and dislikes, there exists possibilities for connecting simulations directly into the "human" component of data. [START_REF] Padilla | Leveraging Social Media Data in Agent-Based Simulations[END_REF] and [START_REF] Kavak | Fine-Scale Prediction of People's Home Location Using Social Media Footprints[END_REF] explore the use of social media data in simulations as sources of input data, for validation and calibration, for recognizing mobility patterns of a population, and identifying communication patterns and agent relations. Gore et al. (2015) show that tweet information allows for approximating individual level measurements of wellbeing through people self-reporting on healthy eating and regular exercise in the same way that could have been obtained through a survey. [START_REF] Padilla | Temporal and Spatiotemporal Investigation of Tourist Attraction Visit Sentiment on Twitter[END_REF] use tweets to identify individuallevel tourist visit patterns and sentiment. These types of information sources can provide new routes towards developing population-based behaviors and rules within agent based models.

Approaches reviewed in this section rely on 1) observable execution at runtime, 2) large numbers of runs, and, 3) the ability to interpret visual and/or statistical analyses of data. The aims of these approaches are to identify key events, successes, and failures during execution and to illuminate the conditions contributing to these occurrences. None of these approaches aim to tell the overall story of the model or its agents over time to create a holistic understanding of the situation in the model.

SIMULATED EMPATHY FRAMEWORK

We propose a framework for connecting artificial agents to real world agents for the purpose of generating empathy. The primary function of this framework is to create a connection layer that connects the real world with the simulated world which can be achieved through digital senses [START_REF] Rechowicz | Making Digital Sense[S]: Fundamentals[END_REF]). The model and physical agent exist in the real world; artificial agents exist in a state of an executing simulation within the simulated world, and the SEF seeks to bridge these worlds during runtime. The SEF connects observers with a simulation's execution by allowing the simulated agents to create narratives based on their experiences and provide those back to the observers. Figure 1 shows the SEF and highlights specific question areas, the questions we seek to address within those areas, and design challenges for maintaining consistency between physical and artificial agents. To facilitate physical-to-simulated communication, the SEF uses a model-user connection layer to connect the real world with the simulated world. Instead of exploring the physical space within the simulation (i.e. through code, visualizations, statistics, etc.), the SEF uses narrative communication to describe the current state of the simulation. Agents' personal experiences are conveyed within their narratives to create an empathetic path between the simulated agent and the real observer at the point in time (real and simulated) that the communication takes place. Three main components comprise SEF:

• Physical component: The physical component includes physical agents (people) and connected objects. The physical component can be augmented, virtual, or extended and encompasses communication interfaces through any channel (physical, verbal, social media, etc.); • Communication and intelligence component: The communication and intelligence component is comprised of processing units that transform and transfer inputs from physical agents to artificial agents and vice versa. This component includes natural language processes, reasoning, and analytical frameworks, such as IBM Watson and Amazon's Skills; and • Artificial component: The artificial component holds the simulated world and all relevant data and communication means. This includes the states of entities, lists of events, as well as the communication means that links and create relationships from the artificial to the physical agents (i.e. people).

The SEF creates a number of unique challenges for maintaining temporal consistencies across worlds during communication. In this paper we focus on the communication and intelligence component. To begin, we present design considerations and specifications to facilitate physical to artificial agent communication.

Design Considerations

Creating a framework to allow physical agents to communicate with artificial agents during execution raises several considerations for aligning real world perceptions with simulation constraints. These considerations are examined with respect to aligning communication options with six dimensions of model characteristics as outlined in [START_REF] Lynch | A Taxonomy for Classifying Terminologies That Describe Simulations with Multiple Models[END_REF] adapted from two taxonomies for classifying simulation tools in parallel and distributed systems [START_REF] Sulistio | A Taxonomy of Computer-Based Simulations and Its Mapping to Parallel and Distributed Systems Simulation Tools[END_REF]). The dimensions are time representation; basis of value; behavior; expression; resolution; and execution. These categories place unique challenges on the ability to connect physical and artificial agents through narrative storytelling and communication.

• Time representation considers temporal alignment between the real time advancement of the physical agents and the simulated time advancement of the artificial agents. The model can potentially be paused and simulation time can advance at faster or slower rates than real time. Should communication only occur at static points in time when the simulation is paused to maintain a consistent simulation state during communication? If the model executes dynamically, should time advancement change to advance at real time during communication; should it pause until the communication is complete; should it continue running at its original speed? What happens if an agent dies in the simulation while it is part of a conversation? Can physical agents only communicate with currently living agents or should narratives be attainable from agents that have passed away during the simulation run? • Basis of value considers the difference between qualitative and quantitative style response from the agents. Different narratives can be provided by an agent simply by discussing age in terms of a numeric value, such as "I am 87 years old", versus a qualitative response, such as "I am old". Both styles of response are appropriate depending on the type of communication being offered by the physical agent. However, providing quantitative values in a response that does not warrant that level of specificity will be out of place and may be off-putting to the physical agent and vice-versa. • Behavior considers whether deterministic (always generating the same output for a given input) or stochastic (generating potentially many outputs for a given input) simulation outputs are generated.

However, an expanded perspective is required for agent-person communication. If communication occurs using a simulation that has already completed execution, then the simulation can now only be considered a deterministic run, even if the simulation is stochastic, because the agents can only communicate on what already happened during execution. New or different events cannot occur even if the physical agent has the ability to roll back the simulation time and with agents in their past. To ensure that stochastic behaviors are maintained, multiple runs can be conducted and agent histories can be aggregated from multiple runs to narrate collections of possible futures. • Expression deals with how artificial agents communicate their attribute values, events that they experience, and decisions that they make. Many of these considerations are dependent upon agents' attributes' data types. For instance, communicating an age value represented as a decimal can be handled differently than a blindness state represented as true or false. • Resolution requires considering whether physical agents can communicate with artificial agents, groups of artificial agents or populations of artificial agents. How wide is the circle of inclusion for the artificial agent Self only? Spouse? Family? Friends? Co-workers? • Execution requires considering how communication channels to the agents interact with the execution of the simulation. Should agents' internal logic be updated to place them into explicit "communication" states when communicating with a real person? Without proper temporal alignment, this approach could lead to an agent lagging behind the other agents by years before the chat ends and the normal behavior of the agent resumes. Alternatively, not putting the agent into a paused state could result in the death of the agent prior to the end of the conversation.

To achieve an end state where agents are able to respond to real requests and generate informative narratives about their lives, we need to shift from the traditional visual and statistical approaches only for tracing and communicating agent behaviors to adding a narrative based approach for conveying agent histories, key events, and current states. The combination of all of these questions reveal that our framework needs to provide communication mediums, categories of communication styles, different aggregation levels of agents for communication, and considerations for past and present agent timelines.

3.2

Communicating Through the SEF Three primary questions remain to be addressed. What forms of communications can take place? What communication mediums are available? What types of responses are the artificial agents able to provide? We classify communication styles under two broad categories: solicited, initiated by the physical agent; and unsolicited, initiated by the artificial agent. Solicited communications are assumed to be at least loosely structured in a question and answer format. These communications result in either the return of a quantitative or qualitative style response from the agent and can relate to agent attributes, locations, states, connections, or other personal information. Unsolicited communications are provided periodically by the artificial agent and can pertain to the its history or key life events. History communications are time-event pairs of information traced over time, such as employment geographic location. Life events are the high value events occurring to the artificial agent directly or with its network connections, such as a friend having a child. Table 1 provides the communication styles contained in our framework.

We categorize human-to-simulation communication mediums as either direct or indirect. Direct occurs face-to-face, through a connected console, or through the simulation's interface. Indirect includes social media platforms. Face-to-face involves the physical agent visually observing the artificial agent using a computer monitor, augmented reality, or virtual reality. A connected console allows for the selection of and communication with agents within the simulation using a device which is not running the simulation. The simulation interface facilitates communication occurs through the same device that executes the simulation. Social media platforms involve communicating directly to the intended target but through an intermediary textual interface, such as the physical or artificial agent's twitter handle. Direct communication mediums provide a more familiar computer-oriented interface for communicating with digital entities. This style of communication operates on more immediate feedback style responses that the indirect mediums. Ideally, if the physical agent can see the artificial agent and ask a question, then the physical agent expects a response on a similar timeframe to asking a physical person a question. Indirect mediums do not necessarily share the immediate feedback approach as questions posed through social media are not always seen immediately upon being sent. Benefits of using indirect communication mediums include the ability to initiate communication at any time as the artificial agent does not have to be available, removing the spatial constraint of the physical agent needing to remain near the simulation console in order to receive responses from the artificial agents, and the ability to pose questions from any mobile connected device. Figure 2 provides the division of communication mediums.

To enable communication along both of these mediums we implement three options: chat windows; message based connection; and Twitter (Twitter 2018). Chat windows provide the means of communicating when accessing the simulation directly. The User Datagram Protocol (UDP) protocol [START_REF] Postel | User Datagram Protocol[END_REF] provides communication access for face-to-face and connected consoles as these utilize external devices that connect to the simulation. We gain access to Twitter through its freely available developer API to provide the ability for artificial agents to receive and respond to messages sent by people from any location at any time.

Once the communication route is established, the artificial agent still needs to formulate responses. We categorize three narrative resolution levels: atomic; composite; and aggregate. Atomic responses contain information only pertaining to the selected artificial agent. Composite responses contain information about the artificial agent's connected networks or groups. Aggregate responses pertain to the entire artificial agent population or model level occurrences. The selection of response categories and communication mediums do not restrict the communication styles available. Figure 3 provides the narrative resolution levels. We provide an initial use case of our framework using a baseline model named Simla. There is a minimal set of rules governing this agent based model. Agents and workplaces are distributed randomly within an environment. Agents can belong to three types of social networks: family; employment (coworkers); and online (non-family, non-coworker). Family networks can span multiple generations and include spouses, (grand)children, and (grand)parents. Over time, agents are seeking jobs and marriage. Agent histories are recording significant events, which include marriage, change in employment status, births (self and people directly connected through one of the networks), and deaths of any connected agents.

For communicating stories, we conduct an experiment using only indirect communication through the Twitter social media platform using its API (Twitter 2018). Artificial agents can communicate three categories of updates through Twitter: communication; sentiment; and network. For communication, artificial agents have the ability to provide updates on their status based on their significant life events that have occurred and post their updates to the twitter handle @VirginiaMASC. Artificial agents also have the ability to respond to tweets mentioning this handle. The culmination of tweets posted during a run provides the story of an agent's life. Sentiment options include the ability to like and retweet tweets. We have not implemented a specific framework for selecting how to like or retweet a tweet. For an exploration into how and why people retweet, see [START_REF] Boyd | Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter[END_REF]. Network options involve the ability for the artificial agent to expand or adjust its real-world communication network by following new physical agents or blocking and muting physical agents. While the network options specify for blocking, muting, and following physical agents, the reverse of these actions, unblocking, unmuting, and unfollowing, are also possible. Figure 4 provides an overview of the available communication options within this use case. We provide a comparative example of the narrative provided by an artificial agent from a sample run using a combination of visualizations, tweets, chat windows, and UDP communication. We use pie charts to convey the annual status of the population. Tweets provide the story of key events pertaining to the agent while the chat and UDP communication options provide direct communication between real people and artificial agents. Figure 5 provides the outcome from the sample run. With this dashboard, a physical agent can follow the artificial society and its individual agents. The physical agent can explore connections between aggregate level phenomena and agents' tweets. For instance, a large set of tweets about artificial agents losing jobs might be an indicator of an impending rise in intolerance at the societal level. A lack of rise in intolerance might lead the physical agent to seek out one of the recently unemployed agents to engage in conversation. Physical agents may then gain a better understanding of the life of an artificial agent which can lead them to formulate additional questions and further improve communication and empathy.

Our current testing has focused solely on communicating with single artificial agents. Future work involves extending our implementation to communicate with artificial agents at different resolution levels. For instance, newscaster style artificial agents could be used for communicate key events within an area or pertaining to specific social networks. A method for associating artificial agents' tweets to their corresponding runs, with originating time steps, is needed to maintain traceability to the simulation.

CONCLUSION

A number of model initialization considerations for tracing artificial agent progressions arise when creating a communication architecture. Should artificial agents report on events that occurred in their past prior to the start of the simulation run? For instance, artificial agents have the ability to communicate when their children were born throughout execution because information pertaining to that event is stored at the time that the birth occurs; however, should artificial agents that initialize with children start with a collection of stored events corresponding to their children, their own employment start dates, etc., where applicable?

The SEF is only the beginning of a vast research area that aims at "breaking the wall" between artificial and physical worlds. The SEF presents challenges at the computational, social, cognitive, and philosophical levels. We have begun to apply it to art, archeology, humanities, policy, and decision support. The success of a SEF approach relies on transdisciplinary teams working together to advance our understanding on the human condition. The SEF calls for a different form of interaction between human and artificial agents. Advances in connected objects, extended reality, and digital senses can be leveraged natively to that end.

Figure 1 :

 1 Figure 1: Narrative-Conversation Communication Framework.

Figure 2 :

 2 Figure 2: Physical-Artificial communication mediums.

Figure 3 .

 3 Figure 3. Artificial agent narrative resolution levels.

Figure 4 :

 4 Figure 4: Artificial agent communication options through Twitter.

Figure 5 :

 5 Figure 5: Comparative snapshot of a sample model run using pie charts, text, and tweets.

Table 1 :

 1 Physical-Artificial agent communication styles.

	Interaction Type	Physical Agent	Agent Target
		Solicitation Requirement
	Quantitative Question and Answer	Solicited	Attribute, state, event, location, and network information
	Qualitative Question and Answer	Solicited	Attribute, state, event, location, and network information
	History	Unsolicited	Time-event information
	Life Event	Unsolicited	Key event information pertaining to self and network connections

AUTHOR BIOGRAPHIES

SAIKOU Y. DIALLO is a Research Associate Professor at the Virginia Modeling, Analysis, and Simulation Center (VMASC) where he serves as the head of the Simulated Empathy lab. He is also an adjunct Professor of Modeling, Simulation, and Visualization Engineering at Old Dominion University (ODU). He received his MS and PhD in Modeling and Simulation from ODU. His email address is sdiallo@odu.edu and his web page is http://www.odu.edu/vmasc/research/simulated-empathy.html. CHRISTOPHER J. LYNCH is a Senior Project Scientist at VMASC at ODU. He received his M.S. in Modeling and Simulation (M&S) from ODU in 2012 and a B.S. in Electrical Engineering from ODU in 2011. He is currently pursuing a Ph.D. in M&S from ODU with a focus on using sound to verify simulations. His email address is cjlynch@odu.edu and his web page is http://www.odu.edu/directory/people/c/clync008. KRZYSZTOF J. RECHOWICZ is a research assistant professor VMASC at ODU. He received his MS in Mechanics and Machine Construction (2006) from the Warsaw University of Technology and a PhD in M&S (2012) from ODU. His research interests focus on bridging the gap between the physical and digital world through sensory and reality augmentation. He is currently the Digital Senses Lab lead. His email address is krechowi@odu.edu and his web page is http://www.odu.edu/vmasc/research/digital-senses.html.

GREGORY ZACHAREWICZ is an Associate

Professor with Habilitation at the University of Bordeaux (France). His research interests include distributed simulation, semantics aspects, model driven approaches, discrete event M&S, and enterprise modeling. He received his MS (2002) and PhD (2006) in Modelling and Simulation from Aix-Marseille University. His email address is gregory.zacharewicz@u-bordeaux.fr and his web page is https://www.ims-bordeaux.fr/en/annuaire/5124-zacharewicz-gregory#display-misc.