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Calculating race: racial descrimination in risk assessment, Wiggins, Benjamin (affiliate Assistant Professor Of History, Affiliate Assistant Professor Of History, University Of Minnesota)


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Автор: Wiggins, Benjamin (affiliate Assistant Professor Of History, Affiliate Assistant Professor Of History, University Of Minnesota)
Название:  Calculating race: racial descrimination in risk assessment
ISBN: 9780197504000
Издательство: Oxford Academ
Классификация:


ISBN-10: 0197504000
Обложка/Формат: Hardcover
Страницы: 144
Вес: 0.39 кг.
Дата издания: 09.12.2020
Серия: Religion and democracy
Язык: English
Иллюстрации: 10
Размер: 23.62 x 15.24 x 1.27 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Racial discrimination in risk assessment
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: In Calculating Race, Benjamin Wiggins analyzes the historical relationship between statistical risk assessment and race in the United States. He illustrates how, through a reliance on the variable of race, actuarial science transformed the nature of racism and helped usher racial disparities
in wealth, incarceration, and housing from the nineteenth century into the twentieth.

Wiggins begins by tracing how the life insurance industry utilized race in its calculations at the end of the nineteenth century, focusing particularly on Prudential and its aggressive battles with state regulators to discriminate against clients and adjust rates on the basis of race. He then turns
his focus to the collection of racial statistics in the Illinois state penitentiary system in the late nineteenth century and the states subsequent development of predictive sentencing and parole formulas in the 1920s that weighed race as a key factor.

Next, he investigates the role of race in the state-sponsored mortgage insurance program of the Federal Housing Administration between the start of the New Deal and the beginning of the Cold War and its prolonged effects on mortgage lending. Wiggins concludes with an analysis of the use of race in
the statistical risk assessments across financial institutions and government programs during the post-civil rights movement era, and how that practice has been transformed in the twenty-first century through proxy variables which stand in for the now taboo category of race. Offering readers a new
perspective on the historical importance of actuarial science in structural racism, Calculating Race is a particularly timely contribution as Big Data and algorithmic decision making increasingly pervade our lives.



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