The people of the Arctic in the space of Russia: interdisciplinary approaches to the translocal communities

N. Zamyatina, E. Liarskaya
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引用次数: 1

Abstract

Thе paper is based on the results of the “Arctic connections: people and infrastructures” project (2018–2021) which was aimed at interdisciplinary study of modern population of the Arctic zone of the Russian Federation. The paper is focused on the study of social support networks and their spatial distribution. We combine socio-anthropological (qualitative) and economic-geographical (quantitative) methods of research and analysis; the field data obtained as the result of in-depth interviews and observation of the participants were corroborated by rigor-ous quantitative analysis of available demographic data. For the anthropological analysis we use the prism of translocality and transnationalism, which enable an understanding of the structure of lives of people who do not reside in only one place but are connected by many ties and relationships to a whole range of localities. The fami-ly life of the northerners is often distributed between several localities, scattered across the whole country, and sometimes beyond its borders. The location of these ‘bases’ depends primarily on the configuration of each fam-ily’s social networks. We call this ‘a distributed way of life’. The quantitative analysis was carried out using the methodology of calculating the Migration Indices of Proportionality of (spatial) Structure (MIPS) of departures and arrivals of the migrants, proposed by O.L. Rybakovsky. The geographical scope of the study is the entire Arctic zone of the Russian Federation, as well as the regions most connected with the Arctic by migration ties (the southern part of the Tyumen region, Kurgan, Kaliningrad, Belgorod, Kirov Regions, etc.). The results of the study revealed close interregional migration ties between the groups of regions that are significantly spatially separated from each other: 1) between the majority of the regions of the Far North, on one hand, and Kaliningrad and Bel-gorod Regions on the other; 2) between Khanty-Mansi Autonomous Okrug and the Republics of Dagestan and Bashkortostan; 3) between Yamalo-Nenets Okrug and the Republic of Bashkortostan and the Omsk and Kurgan regions, as well as the south of the Tyumen Region; 4) between Nenets Autonomous Okrug and Kirov Region. The qualitative studies have shown how the migration flows in these areas increase due to established social ties, which in some cases are sustained already for several generations. In the paper, the importance of the influence of interregional social ties, both for the Arctic and for the country in general, is demonstrated. The authors demon-strate how these connections between the “northern” and “non-northern” regions, which are separated by about a 1000 km distance, lead to such close relations which are more characteristic of relationships between a popula-tion center and its nearest periphery. This ultra-distant social proximity is a vivid manifestation of the specifics of the Russian North and Arctic.
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俄罗斯空间中的北极人民:跨地方社区的跨学科方法
该论文基于“北极联系:人与基础设施”项目(2018-2021)的结果,该项目旨在对俄罗斯联邦北极地区的现代人口进行跨学科研究。本文主要对社会支持网络及其空间分布进行研究。我们结合了社会人类学(定性)和经济地理学(定量)的研究和分析方法;通过对参与者进行深入访谈和观察获得的实地数据,通过对现有人口数据进行严格的定量分析得到了证实。对于人类学分析,我们使用跨地域和跨国主义的棱镜,这使我们能够理解人们的生活结构,这些人不仅居住在一个地方,而且通过许多纽带和关系与整个地区联系在一起。北方人的家庭生活往往分布在几个地方,分散在全国各地,有时甚至跨越国界。这些“基地”的位置主要取决于每个家庭的社会网络的配置。我们称之为“分布式生活方式”。定量分析采用O.L. Rybakovsky提出的迁入和迁出人口空间结构比例指数(MIPS)计算方法。研究的地理范围是俄罗斯联邦的整个北极地区,以及通过移民联系与北极联系最紧密的地区(秋明地区南部、库尔干、加里宁格勒、别尔哥罗德、基洛夫地区等)。研究结果表明,在空间上相互分离的地区群体之间存在密切的区域间迁移联系:1)远北地区的大多数地区与加里宁格勒和别尔哥罗德地区之间;2)汉特-曼西自治区与达吉斯坦共和国和巴什科尔托斯坦共和国之间;3)亚马尔-涅涅茨地区与巴什科尔托斯坦共和国、鄂木斯克和库尔干地区以及秋明州南部之间;4)涅涅茨自治区和基洛夫州之间。定性研究表明,这些地区的移徙流动如何由于既定的社会关系而增加,在某些情况下,这种社会关系已经持续了几代人。在本文中,论证了区域间社会关系对北极和整个国家的影响的重要性。作者展示了相隔约1000公里的“北部”和“非北部”地区之间的这些联系是如何导致如此密切的关系的,这种关系更像是人口中心与其最近边缘之间的关系。这种超遥远的社交距离生动地体现了俄罗斯北部和北极地区的特点。
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来源期刊
Vestnik Archeologii, Antropologii i Etnografii
Vestnik Archeologii, Antropologii i Etnografii Arts and Humanities-Archeology (arts and humanities)
CiteScore
0.70
自引率
0.00%
发文量
60
审稿时长
16 weeks
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