The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Black Criminal Stereotypes and Racial Profiling
Abstract
The racial stereotyping of criminals has been an enduring and unfortunate feature of American culture. However, following the civil rights movement, the linkage between Blacks and crime was galvanized. The stereotyping of Blacks as criminals is so pervasive throughout society that “criminal predator” is used as a euphemism for “young Black male.” This common stereotype has erroneously served as a subtle rationale for the unofficial policy and practice of racial profiling by criminal justice practitioners. This article details the theoretical elements contributing to the development of Black criminal typification to understand how this has been used to justify racial profiling.
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Cites
Wilson, W. J. (2018) · Color Class Identity · doi:10.4324/9780429501531-11 · Cited by 3,503
STEFFENSMEIER, D., ULMER, J., & KRAMER, J. (1998) · Criminology · doi:10.1111/j.1745-9125.1998.tb01265.x · Cited by 1,592
Seductions of crime: moral and sensual attractions in doing evil
(1989) · Choice Reviews Online · doi:10.5860/choice.26-4165 · Cited by 1,121
Sourcebook of criminal justice statistics
(2005) · Choice Reviews Online · doi:10.5860/choice.42sup-0669 · Cited by 832
Dirty politics: deception, distraction, and democracy
(1993) · Choice Reviews Online · doi:10.5860/choice.30-2952 · Cited by 681
INCARCERATION, SOCIAL CAPITAL, AND CRIME: IMPLICATIONS FOR SOCIAL DISORGANIZATION THEORY*
ROSE, D. R., & CLEAR, T. R. (1998) · Criminology · doi:10.1111/j.1745-9125.1998.tb01255.x · Cited by 678
The Rich Get Richer and the Poor Get Prison: Ideology, Class, and Criminal Justice.
Rustigan, M. A., & Reiman, J. H. (1980) · Contemporary Sociology · doi:10.2307/2065274 · Cited by 662
Sniderman, P. M., & Piazza, T. L. (1993) · Harvard University Press eBooks · doi:10.4159/9780674043848 · Cited by 622
Mauer, M., & Jones, S. (2006) · The New Press eBooks · doi:10.1515/9781595586667 · Cited by 610
Sniderman, P. M., & Piazza, T. (1993) · Medical Entomology and Zoology · Cited by 602
Cited by
Racial Threat and Punitive School Discipline
Welch, K., & Payne, A. A. (2010) · Social Problems · doi:10.1525/sp.2010.57.1.25 · Cited by 445
Self-citationOwusu-Bempah, A. (2017) · Theoretical Criminology · doi:10.1177/1362480616677493 · Cited by 135
Stereotype threat and racial differences in citizens’ experiences of police encounters.
Najdowski, C. J., Bottoms, B. L., & Goff, P. A. (2015) · Law and Human Behavior · doi:10.1037/lhb0000140 · Cited by 136
Barikeri, S., Lauscher, A., Vulić, I., & Glavaš, G. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · doi:10.18653/v1/2021.acl-long.151 · Cited by 121
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Wang, B., Chen, W., Pei, H., Xie, C., Kang, M., Zhang, C., Xu, C., Xiong, Z., Dutta, R., Schaeffer, R., et al. (2023) · arXiv · doi:10.48550/arxiv.2306.11698 · Cited by 110
Metadata
- Authors
- Welch, K.
- Venue
- Journal of Contemporary Criminal Justice
- Publisher
- SAGE Publications
- Published
- 2007-08
- Volume
- 23
- Issue
- 3
- Pages
- 276-288
- ISSN
- 1043-9862 (ISSN-L)
- 1552-5406
- OpenAlex
- W2156887679
- Cited by
- 476
- References
- 39
- FWCI
- 31.33
- Type
- journal article
- Language
- en
- Open access
- closed
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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.