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      Benevolent racism? The impact of target race on ambivalent sexism

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      Group Processes & Intergroup Relations
      SAGE Publications

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          Abstract

          Two studies investigated whether benevolent sexism is differentially applied based on a woman’s race. Study 1 demonstrated that participants expressed more benevolent sexism to White females than Black females when given no other information besides race. Study 2 introduced positive (chaste) and negative (promiscuous) sexually subtyped behaviors in addition to female race. Under these conditions, participants directed more benevolent sexism at chaste Black women rather than chaste White women, consistent with shifting standards theory. Despite receiving more benevolent sexism, chaste Black women did not receive more positive evaluations overall. Across both studies, expressions of hostile sexism did not differ by race. Results suggest that race may function as a subtype to elicit benevolent sexism contingent on behavior. Black women who follow traditional gender norms may be overcompensated for their conformity with benevolent sexism, but not receive more positive benefits.

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          Most cited references57

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          The Ambivalent Sexism Inventory: Differentiating hostile and benevolent sexism.

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            A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition.

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              Measuring individual differences in implicit cognition: The implicit association test.

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                Author and article information

                Journal
                Group Processes & Intergroup Relations
                Group Processes & Intergroup Relations
                SAGE Publications
                1368-4302
                1461-7188
                March 2016
                June 01 2015
                March 2016
                : 19
                : 2
                : 169-183
                Affiliations
                [1 ]Portland State University, USA
                Article
                10.1177/1368430215583153
                d23273fc-d954-4b41-9bfd-c3d1a670b3d3
                © 2016

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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