Literature DB >> 32716724

On Intersectionality: How Complex Patterns of Discrimination Can Emerge From Simple Stereotypes.

Neil Hester1, Keith Payne2, Jazmin Brown-Iannuzzi3, Kurt Gray2.   

Abstract

Patterns of discrimination are often complex (i.e., multiplicative), with different identities combining to yield especially potent discrimination. For example, Black men are disproportionately stopped by police to a degree that cannot be explained by the simple (i.e., additive) effects of being Black and being male. Researchers often posit corresponding mental representations (e.g., intersectional stereotypes for Black men) to account for these complex outcomes. We suggest that complex discrimination can be explained by simple stereotypes combined with threshold models of behavior-for example, "if someone's threat level seems higher than X, stop that person." Simulations provide proof of this concept. We show how gender-by-race discrimination in both promotions and police stops can be explained by simple stereotypes. We also explore race-by-age discrimination in police stops, in which racial disparities are greater for young adolescents. This work suggests that complex behaviors can sometimes arise from relatively simple cognitions.

Entities:  

Keywords:  decision rules; intersectionality; open data; open materials; prejudice; theoretical models; threshold models

Mesh:

Year:  2020        PMID: 32716724     DOI: 10.1177/0956797620929979

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  1 in total

1.  Effect of the Lights4Violence intervention on the sexism of adolescents in European countries.

Authors:  Belén Sanz-Barbero; Alba Ayala; Francesca Ieracitano; Carmen Rodríguez-Blázquez; Nicola Bowes; Karen De Claire; Veronica Mocanu; Dana-Teodora Anton-Paduraru; Miriam Sánchez-SanSegundo; Natalia Albaladejo-Blázquez; Ana Sofia Antunes das Neves; Ana Sofia da Silva Queirós; Barbara Jankowiak; Katarzyna Waszyńska; Carmen Vives-Cases
Journal:  BMC Public Health       Date:  2022-03-19       Impact factor: 3.295

  1 in total

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