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官方统计的文化。德国移民融合定量测量中的符号统治与“资产阶级”同化

The culture of official statistics. Symbolic domination and "bourgeois" assimilation in quantitative measurements of immigrant integration in Germany.

作者信息

Petzke Martin

机构信息

Faculty of Sociology, Bielefeld University, Universitätsstr. 25, 33615 Bielefeld, Germany.

出版信息

Theory Soc. 2023;52(2):213-242. doi: 10.1007/s11186-022-09503-2. Epub 2022 Oct 21.

Abstract

While cultural sociology has recently made a comeback in research on social inequality both in the context of poverty studies and studies of immigrant integration, it has rarely investigated how particular constructions of the problem of socioeconomic mobility are themselves culturally situated. The article addresses this neglect by investigating the problematization of disadvantaged lives within the relational framework of Bourdieu's cultural theory of the state. Here, the state exercises symbolic violence by transforming one arbitrary cultural standpoint in social space into a universal standard, or a taken-for-granted "doxa," against which other cultural positions can only come off as deficient. The article extends this perspective by addressing the role of official statistics in this process. Taking Germany's official monitoring of the socioeconomic integration of immigrants as its case and drawing from document analysis, interviews, ethnographic observation, and data from the German General Social Survey, the article shows how such statistical instruments of the welfare state in fact tacitly universalize a model of the good life particular to civil servants, the very constructors of the monitors, as a benchmark for immigrant integration.

摘要

虽然文化社会学最近在贫困研究和移民融合研究的社会不平等研究中卷土重来,但它很少研究社会经济流动问题的特定建构本身是如何在文化中定位的。本文通过在布迪厄国家文化理论的关系框架内研究弱势群体生活的问题化来解决这一忽视。在这里,国家通过将社会空间中一个任意的文化立场转变为一种普遍标准,或一种被视为理所当然的“常识”,来行使象征性暴力,与之相比,其他文化立场只能显得不足。本文通过探讨官方统计在这一过程中的作用来扩展这一观点。以德国对移民社会经济融合的官方监测为例,借鉴文献分析、访谈、民族志观察以及德国综合社会调查的数据,本文展示了福利国家的这种统计工具实际上是如何默认地将公务员(即监测的制定者)特有的美好生活模式普遍化为移民融合的基准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6837/10033626/9f58925be81a/11186_2022_9503_Figa_HTML.jpg

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