Profiles, Probabilities, and Stereotypes

By F. Schauer. 2006

Preface Introduction: Painting with a Broad Brush 1. In Training with the Greeks 2. Pit Bulls, Golden Retrievers, and Other Dangerous Dogs 3. A Ride on the Blue Bus 4. Eighty-Year-Old Pilots and Twelve-Year-Old Voters 5. The Women of the Virginia Military Institute 6. The Profilers 7. The Usual Suspects 8. Two Cheers for Procrustes 9. Ships with Altered Names 10. The Generality of Law 11. Generality, Community, and the Wars of the Roqueforts Coda: From the Justice of Generality to the Generality of Justice Notes Index

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. A. Piehl
2. S. Bushway
3. Reuben Binns
4. Jeffery T. Ulmer
5. Xia Wang
6. Emilio Ferrara
7. D. Mears
8. Jiaming Zeng

Citations in the corpus

• Fairness in Machine Learning: Lessons from Political Philosophy (2017, background): “However, others have argued that the failure to treat people as individuals cannot plausibly be the essence of wrongful discrimination Schauer (2009); Dworkin (1981); Lippert-Rasmussen (2014).”
• Data Dilemmas in the Information Society: Introduction and Overview (2013, unknown): “17 Stallings, W. (1999). 18 Denning, D.”
• The Inextricable Link Between Age and Criminal History in Sentencing (2007, background): “In contrast to this position, Schauer (2003) argues that there is no moral imperative for individualized sentencing— generalizations such as those routinely contained in sentencing guidelines are common and frequently necessary.”