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Intersectional Complexity in Stereotype Content

Bibliographic Data

ID2229786
AuthorsN Heiserman (0000-0002-4211-1767, Oklahoma State University Oklahoma City, corresponding author)
Year2023
Volume129
Issue3
Pages753-795
Publication date2023-11-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Sociology (JOURNAL)
Journal identifiersISSN: 0002-9602 • E-ISSN: 1537-5390
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/728051
OpenAlexW4387311970
LanguageEN
Citations received14
References cited61

Research on stereotypes often focuses on discrete, isolated social categories (e.g., gender or race), and rarely centers the fact that people belong to many social categories at once (e.g., gender and race). In a large factorial experiment (N=1,762) I measure two dimensions of stereotypes—warmth and competence—across 360 intersections of gender, sexuality, age, race/ethnicity, and social class. Warmth stereotypes were complex in the sense that only about a third of intersectional variation came from main effects of the five social categories. Competence stereotypes were less complex, with most variation stemming from main effects. Stereotypes varied across intersections with other categories, even sometimes reversing typically negative stereotypes. Finally, analyses also showed support for double standard theories: equal competence yielded less expected status for the more marginalized. Such findings show how intersectional perspectives can shed new light on how stereotypes affect how people are seen and uncover commonalities as well as differences between intersectional identities

Content (measure theory) · Download · Media studies · Sociology · Stereotype (UML) · World Wide Web · Computer Science · Gender Diversity and Inequality · Gender Politics and Representation · Mathematics · Psychology · Social and Intergroup Psychology · Social Psychology

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Unique citing works14
Citations per year7
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12

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