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Enregistrement W2143373534 · doi:10.3138/cjccj.46.4.457

Inflammatory Rhetoric on Racial Profiling Can Undermine Police Services

2004· article· en· W2143373534 sur OpenAlexaffvenueabout
Thomas Gabor

Notice bibliographique

RevueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2004
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCrime Patterns and Interventions
Établissements canadiensUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésRacial profilingLaw enforcementProfiling (computer programming)RhetoricLawCriminologySociologyPolitical sciencePsychologyRace (biology)Gender studiesComputer science

Résumé

récupéré en direct d'OpenAlex

This commentary was prompted by the recent debate in this journal (CJCCJ 45.3, July 2003) exploring allegations of on the part of the Metro Toronto Police Service. My intention is to deal with the issue more generally, rather than to comment specifically on the situation in Toronto. I share with many commentators the concern about racial profiling; however, this mutual concern has little meaning when the term has such varied connotations. My preference is for a more narrow usage, as broader definitions include law enforcement practices that, arguably, are legitimate. Therefore, racial as defined here, is a form of bias whereby citizens are stopped, questioned, searched, or even arrested on the basis of their minority status per se, rather than due to a demonstrated, elevated risk of lawbreaking. Several rigorous studies undertaken in the United States provide evidence of such racial profiling. For example, John Lamberth of Temple University (cited in Harris 1999) sent out teams of observers to the New Jersey Turnpike and, based on observations of over 42,000 vehicles, found that black and white drivers violated traffic laws at virtually identical rates. However, police records indicated that 35% of those stopped and 73% of those stopped and arrested were black, while only 13.5% of the cars on the road had a black driver or passenger. Lamberth concluded that would appear that the of the occupants and/or drivers of the cars is a decisive factor [in the number of stops of blacks] or a factor with great explanatory power (Harris 1999: 198). Lamberth's study illustrates what I consider to be the two main elements of racial profiling: (1) members of a visible minority group have a significantly elevated likelihood of being subject to some form of police action, and (2) the more aggressive targeting of that group is due to the group's visible minority status, rather than to behavioural differences that might warrant a higher level of police scrutiny. Alan Gold, one of Canada's most prominent barristers, adopts a precise definition and one that is consistent with the above: racial is thus (i.e., identification of target criminals) based upon one characteristic: race. If is an attempt to identify previously undetected criminals based upon the single factor of race (2003: 394). According to the above definitions, racial profiling is a consistent tendency on the part of members of a police service to target a group in the absence of credible evidence that might warrant such targeting. Unfortunately, definitions of this phenomenon are often so broad that they include reasonable and legitimate police practices. It is worth contrasting the definition provided by Scot Wortley and Julian Tanner with those advanced above. They write, In the criminological literature, is said to exist when the members of certain or ethnic groups become subject to greater levels of criminal justice surveillance than others. Racial profiling, therefore, is typically defined as a facial disparity in police stop and search practices, differences in customs searches at airports and border crossings, increased police patrols in facial minority neighbourhoods and undercover activities, or sting operations that selectively target particular ethnic groups. (2003:369) While Wortley and Tanner are careful to attribute this definition to the criminological literature, they appear to adopt it at various points in their discussion. My concern is that this definition fails to distinguish between law enforcement practices that are based on pure bigotry and those that may be entirely reasonable as a result of systematic analyses of crime patterns, intelligence work, and information obtained from the community. It is legitimate for a police service to deploy additional personnel in neighbourhoods experiencing high levels of illegal activity, regardless of whether or not the residents tend to be members of visible minority groups. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,644
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,101
Tête enseignante GPT0,347
Écart entre enseignants0,246 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations23
Publié2004
Routes d'admission3
Résumé présentoui

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Même revueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleMême sujetCrime Patterns and InterventionsTravaux en français237 207