Thesis ID: CBB342033827

Justice in Numbers: Statistics and the Transformation of Civil Rights in Modern America (2023)

unapi

This dissertation examines the convergence of the struggle for civil rights led by Black Americans and the precipitous rise of government quantification in the twentieth-century United States. Focusing on litigation campaigns waged by the NAACP Legal Defense Fund against employment discrimination and the death penalty, it charts the trajectory of strategies to prove racial discrimination with statistics. It argues that technical standards and social scientific theories shaped legal ideas about fairness, and that the retrenchment of antidiscrimination law was as much a struggle over knowledge as politics, doctrine, or cultural memory. To make these claims, Justice in Numbers traces the “disparate impact” theory of discrimination from its emergence in the 1960s to its codification in the 1970s through the backlash against it in the 1980s. At the peak of the Civil Rights Movement, concerns about racial statistics divided activists and administrators who embraced data to hone litigation as a weapon against structural inequality. Lawyers collaborated with social scientists to mount a constitutional challenge to the death penalty rooted in racial disparities research. Their efforts turned debates on capital punishment into proxy battles over criminal justice expertise amid a rising tide of law-and-order politics. Meanwhile, statistics secured key victories in employment lawsuits. But what social science giveth, it taketh away, as disciplinary dissensus threatened to undermine disparate impact theory. By the Reagan presidency, opponents of civil rights no longer rejected quantification. Rather, they excelled at it, moving law’s benchmark for discrimination even further from the structural and historical concerns that inspired the adoption of statistics in the first place. To tell the crucial story of how quantification shaped legal strategy and colorblind politics, Justice in Numbers uses methods from the history of science and Black studies to analyze milestone cases, providing a new perspective on computing, race, and social power in modern America. Past efforts to mobilize computational modeling and scientific anti-racism in the courtroom have shored up pernicious standards that occlude the historical processes of racism. Scholars confronting the challenges presented by AI and machine learning to civil rights today should take heed of this history, lest it be repeated.

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Authors & Contributors
Baker, Robert B.
Hoover, Eddie
Jacobs, Elizabeth A.
Olakanmi, Ololade
Patterson, Andrea
Pittenger, Mark A.
Journals
Canadian Journal of History
Journal Electronique d'Histoire des Probabilités et de la Statistique
Journal of American History
Journal of Black Studies
Journal of the National Medical Association
Social History of Medicine
Publishers
The University of North Carolina Press
Liveright Publishing Corporation A Division of W.W. Norton and Company
Bloomsbury Academic
Duke University Press
Rutgers University Press
University of North Carolina Press
Concepts
African Americans
Civil rights
African Americans and science
Segregation
Race
Technology and race
People
Davis, Allison
Time Periods
20th century
19th century
20th century, early
18th century
20th century, late
21st century
Places
United States
Caribbean
New Orleans (Louisiana, U.S.)
Southern states (U.S.)
Richmond, Virginia
Institutions
American Red Cross
McDonald's Corporation
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