量化阶级轨迹:连接拓扑和时间账户

M. Toft
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引用次数: 1

摘要

在本文中,我将讨论社会世界在拓扑和时间意义上的关系构成的定量核算的潜力。由于统计程序依赖于对社会世界的潜在假设,我强调多重对应分析(MCA)是如何相互关联地思考的,正如布迪厄著名的宣言那样,但在较小程度上解决了社会生活的时间模式。我指出了序列分析(SA)在“过程性”思维中的有益特性,并且我认为这两种工具的结合以互补的方式激发了关系思维的有利机会。将SA添加到MCA中可以将过程思维插入到关系空间中,而MCA则有助于在社会结构中嵌入顺序模式。我通过借鉴皮埃尔·布迪厄作品的历时性基础来批判性地评估这一策略,并经验性地检查他的社会空间的第三维度——轨迹——如何被“量化”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying class trajectories: linking topological and temporal accounts
In this article, I discuss the potential for quantitatively accounting of the social world as relationally constituted in both a topological and a temporal sense. As statistical procedures rest on underlying assumptions of the social world, I emphasise how multiple correspondence analysis (MCA) thinks relationally, as Bourdieu famously proclaimed, but to a lesser extent addresses the temporal pattering of social life. I point to the beneficial property of sequence analysis (SA) in thinking ‘processually’, and I argue that the combination of the two tools stimulates favourable opportunities for relational thinking in complementary ways. While adding SA to MCA inserts processual thinking into a relational space, the MCA helps embedding sequential patterns within a social structure. I critically assess this strategy by drawing on the diachronic underpinnings to Pierre Bourdieu’s oeuvre and empirically examine how his third dimension of social space – trajectory – might be ‘quantified’.
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