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    'The Bell Curve' in Perspective

    Race, Meritocracy, Inequality and Politics

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    Author(s)
    Tucker, William H.
    Language
    English
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    Abstract
    This open access book examines the implications of The Bell Curve for the social, economic, and political developments of the early 21st century. Following a review of the reception of The Bell Curve and its place in the campaign to end affirmative action, Professor Tucker analyses Herrnstein’s concept of the “meritocracy” in relation to earlier 20th century eugenics and the dramatic increase in economic inequality over the past 30 years. Tucker demonstrates how, contrary to The Bell Curve’s predictions, the reallocation of these huge sums was neither rational nor beneficial for society. The book moves on to situate The Bell Curve within contemporary politics and shows how it can be seen to have played a role in the 2016 US election. This compelling analysis will appeal to scholars and those with an interest in the history of scientific racism, the history of psychology and the sociology of knowledge and science. This is an open access book.
    URI
    https://library.oapen.org/handle/20.500.12657/85070
    Keywords
    scientific racism; racial differences; intelligence; The Bell Curve; individual differences; cognitive ability; structural inequality; meritocracy; hereditary inequality; history of scientific racism
    DOI
    10.1007/978-3-031-41614-9
    ISBN
    9783031416149, 9783031416132, 9783031416149
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2024
    Imprint
    Palgrave Macmillan
    Series
    Palgrave Studies in the Theory and History of Psychology,
    Pages
    124
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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