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Cited by 16

The DOI matches its Crossref record, with a small difference in title or year.

White Kids: Growing Up with Privilege in a Racially Divided America

Hagerman, Margaret A.·2020

Abstract

Winner, 2019 William J. Goode Book Award, given by the Family Section of the American Sociological Association Finalist, 2019 C. Wright Mills Award, given by the Society for the Study of Social Problems Riveting stories of how affluent, white children learn about race American kids are living in a world of ongoing public debates about race, daily displays of racial injustice, and for some, an increased awareness surrounding diversity and inclusion. In this heated context, sociologist Margaret A. Hagerman zeroes in on affluent, white kids to observe how they make sense of privilege, unequal educational opportunities, and police violence. In fascinating detail, Hagerman considers the role that they and their families play in the reproduction of racism and racial inequality in America. White Kids , based on two years of research involving in-depth interviews with white kids and their families, is a clear-eyed and sometimes shocking account of how white kids learn about race. In doing so, this book explores questions such as, “How do white kids learn about race when they grow up in families that do not talk openly about race or acknowledge its impact?” and “What about children growing up in families with parents who consider themselves to be ‘anti-racist’?” Featuring the actual voices of young, affluent white kids and what they think about race, racism, inequality, and privilege, White Kids illuminates how white racial socialization is much more dynamic, complex, and varied than…

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Crossref · 10.18574/nyu/9781479880522.001.0001

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Authors
Hagerman, M. A.
Published
2020-05-25
Cited by
16
References
0

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.