阶级的流动:美国的职业和日常流动模式。

IF 2.2 Q2 SOCIOLOGY
Frontiers in Sociology Pub Date : 2025-04-10 eCollection Date: 2025-01-01 DOI:10.3389/fsoc.2025.1492785
Karl Vachuska
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引用次数: 0

摘要

在上个世纪的大部分时间里,阶级分析一直是社会学的一个主要领域,并为学者们分析社会分层提供了一个关键的视角。鉴于某些阶级地位的属性对分层的影响以及更大的代际和代际流动的可能性,它们引起了社会学的特别关注。在这项工作中,我探索了在文献中被忽视的阶级分析的一个视角:日常流动模式。由于丰富的手机数据的可用性不断提高,日常移动模式已成为社会科学研究的热门数据源。然而,尽管日常流动模式和阶级之间存在明确的理论关系,但很少有社会学研究将这两个概念联系起来。这项以美国为背景的分析表明,阶级——特别是职业阶级——是流动性模式的一个极其强有力的预测因素,并不是所有的职业都与人们可能期望的流动性模式有关。研究结果还表明,某些职业与贫困社区的接触程度不成比例,因此我提出了对日常流动模式最重要的职业属性的理论。我的结论是,新的数据来源有可能重新引起人们对阶级分析的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The movement of class: on occupation and everyday mobility patterns in the United States.

For much of the last century, class analysis has been a major area of sociology and has provided a critical lens through which scholars analyze social stratification. The attributes of certain class positions are of particular sociological interest given their impact on stratification and the possibility of greater inter- and intra-generational mobility. In this work, I explore one perspective of class analysis that has been neglected in the literature: everyday mobility patterns. As a result of the rising availability of rich cell phone data, everyday mobility patterns have become a popular data source for social science research. However, despite the clear theoretical relationship between everyday mobility patterns and class, little sociological research has connected these two concepts. The analysis, set in the United States, indicates that class-specifically, occupational class-is an extremely strong predictor of mobility patterns and that not all occupations are associated with the mobility patterns one might expect. The findings also indicate that certain occupations are disproportionally exposed to impoverished neighborhoods, and I thus theorize about the occupational attributes that matter most for everyday mobility patterns. I conclude by arguing that novel data sources have the potential to renew interest in class analysis.

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来源期刊
Frontiers in Sociology
Frontiers in Sociology Social Sciences-Social Sciences (all)
CiteScore
3.40
自引率
4.00%
发文量
198
审稿时长
14 weeks
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