21 世纪的同化理论:评估成就与未来挑战

IF 2.3 1区 社会学 Q1 DEMOGRAPHY International Migration Review Pub Date : 2024-10-04 DOI:10.1177/01979183241274747
Lucas G. Drouhot
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引用次数: 0

摘要

自从围绕相互竞争的同化模式展开理论辩论,并对美国及其他地区的移民及其后裔进行持久的结构性研究以来,已经过去了四分之一个世纪。在本文中,我将从三个方面对当代同化研究的现状进行反思。首先,我旨在总结分段同化和新同化理论的相对优点,以及它们解释美国和欧洲主要经验趋势的能力。我认为,关于美国和西欧的第二代主要经历代际进步而非分段同化理论所设想的向下同化,目前正在形成一种经验共识。然后,我指出了进一步建立理论所面临的六项分析挑战:澄清种族的作用,更好地理解文化差异是如何塑造同化轨迹的;重新思考移民的社会经济流动性与归属感体验之间的关系;承认移民的选择性在调节同化中的重要性;面对由于同化的内生过程(如种族减员和监禁)所导致的样本内外选择性问题;以及研究第三代。展望未来,我认为有必要开展跨方法论传统和专业子领域的对话,以鼓励进一步的理论进步,并评估现有的数据基础设施和未来的数据需求。最后,结合机器学习应用带来的经验惊喜和归纳推理,我认为,当前数据丰富的时代以及通过非概率在线样本收集高维调查的前所未有的能力很可能会带来进一步的理论进步。
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Assimilation Theories in the 21st Century: Appraising Accomplishments and Future Challenges
Over a quarter century has passed since theoretical debates surrounding competing assimilation models emerged, and durably structured research on immigrants and their descendants in America and beyond. In this article, I offer a three-pronged reflection on the contemporary state of assimilation research. First, I aim to take stock of the relative merits of segmented and neoassimilation theories and their ability to explain major empirical trends in both the US and Europe. I argue that there is now an emerging empirical consensus about the second generation in the US and Western Europe primarily experiencing intergenerational progress rather than downward assimilation as envisioned by segmented assimilation theory. I then note six analytical challenges facing further theory building: clarifying the role of race and better understanding how cultural difference shapes assimilation trajectories, rethinking the relationship between immigrant socioeconomic mobility and the experience of belonging, acknowledging the importance of immigrant selectivity in conditioning assimilation, facing issues of in- and out-of-sample selectivity due to processes endogenous to assimilation such as ethnic attrition and incarceration, and studying the third generation. Looking out and into the future, I note the need for conversations across methodological traditions and specialist subfields to encourage further theoretical progress and assess existing data infrastructures and future data requirements. Finally, in tandem with machine learning applications allowing for empirical surprise and abductive reasoning, I argue that the current era of data plenitude and unprecedented ability to collect high-dimensional surveys through nonprobability online samples is likely to lead to further theoretical progress.
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来源期刊
CiteScore
7.00
自引率
7.90%
发文量
69
期刊介绍: International Migration Review is an interdisciplinary peer-reviewed journal created to encourage and facilitate the study of all aspects of sociodemographic, historical, economic, political, legislative and international migration. It is internationally regarded as the principal journal in the field facilitating study of international migration, ethnic group relations, and refugee movements. Through an interdisciplinary approach and from an international perspective, IMR provides the single most comprehensive forum devoted exclusively to the analysis and review of international population movements.
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