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Cited by 435

The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.

Addressing Recognition Gaps: Destigmatization and the Reduction of Inequality

Open access
Lamont, Michèle·2018·American Sociological Review

Abstract

This Presidential Address offers elements for a systematic and cumulative study of destigmatization, or the process by which low-status groups gain recognition and worth. Contemporary sociologists tend to focus on inequality in the distribution of resources, such as occupations, education, and wealth. Complementing this research, this address draws attention to “recognition gaps,” defined as disparities in worth and cultural membership between groups in a society. I first describe how neoliberalism promotes growing recognition gaps. Then, drawing on research on stigmatized groups across several societies, I analyze how experiences of stigma and destigmatization are enabled and constrained by various contextual factors and actors, including institutions, cultural repertoires, knowledge workers, and social movement activists. I conclude by proposing a research agenda for the sociology of recognition and destigmatization, and by sketching how social scientists, policymakers, organizations, and citizens can contribute to the reduction of recognition gaps.

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Crossref · 10.1177/0003122418773775

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Metadata

Authors
Lamont, M.
Venue
American Sociological Review
Published
2018-05-21
Volume
83
Issue
3
Pages
419-444
ISSN
  • 0003-1224 (ISSN-L)
  • 1939-8271
OpenAlex
W2804870346
Cited by
435
References
131
FWCI
68.35
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Addressing Recognition Gaps: Destigmatization and the Reduction of Inequality. https://app.cochat.ai/papers/10.1177/0003122418773775
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Lamont, M. (2018). Addressing Recognition Gaps: Destigmatization and the Reduction of Inequality. American Sociological Review. https://doi.org/10.1177/0003122418773775

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.