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Hidden intersections: research on race, crime, and criminal justice in Canada

2003· article· en· W36457282 on OpenAlexvenueaboutno aff
Scot Wortley

Bibliographic record

VenueCanadian ethnic studies · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsRace (biology)CriminologyVictimisationDisadvantageCriminal justiceEconomic JusticeFace (sociological concept)SociologyPolitical scienceImmigrationIdentity (music)Gender studiesLawPoison controlSocial scienceSuicide prevention

Abstract

fetched live from OpenAlex

ABSTRACT/RESUME The issue of race and crime is one of the most controversial topics in Canada. This paper begins by exploring various theoretical models that have attempted to explain why some racial minority groups appear to be over-represented in official crime statistics. An effort is made to highlight the divergent policy implications associated with each model and how effective solutions must directly consider how race interacts with other identity markers--including gender, age, social class, religion, and immigration status. The paper then move s on to a discussion of facial discrimination within the justice system. It is argued that the intersection of race and lower class position may contribute to the apparent disadvantage many minorities face when dealing with the police, the courts, and corrections. The paper then turns to the issue of criminal victimisation. Emphasis is placed on the high rates of violent victimisation experienced by both minority men and women in this country and how researchers and governments should address the problem of hate crime. The next section of the paper examines how race may interact with both social class and linguistic ability to impede access to high quality justice services. The paper concludes with a detailed discussion of data needs and the many obstacles that researchers face when trying to conduct research on these issues in Canada. It is argued that the academic community must play more of a leadership role and help establish a research agenda that will facilitate the development of effective policy initiatives. La question de la race et du crime est l'un des sujets les plus controverses au Canada. Ce document commence par explorer divers modeles theoriques qui ont tente d'expliquer pourquoi certains groupes de minorites raciales semblent etre surrepresentes dans les statistiques criminelles officielles. On s'efforce de souligner les implications politiques divergentes associees a chaque modele et comment des solutions efficaces doivent considerer directement la facon dont la race interagit avec d'autres marqueurs de l'identite, y compris le sexe, l'age, la classe sociale, la religion et le statut d'immigrant. Le document aborde ensuite la question de la discrimination raciale au sein du systeme judiciaire. On affirme que l'intersection de la race et du niveau inferieur de la classe sociale peut contribuer au desavantage apparent auquel plusieurs minorites font face lorsqu'ils ont a faire avec la police, les tribunaux et les services correctionnels. Le document traite ensuite de la question de la victimisation criminelle. L'auteur met l'accent sur les taux eleves de victimisation violente dont sont victimes les hommes et les femmes minoritaires dans ce pays et sur la facon dont Canadian Ethnic Studies/Etudes ethniques au Canada, XXXV, No. 3, 2003 les chercheurs et les gouvernements devraient s'attaquer au probleme des crimes motives par la haine. La prochaine section du document examine comment la race peut interagir avec la classe sociale et la capacite linguistique pour faire obstacle a l'acces a des services juridiques de haute qualite. Le document conclut avec une discussion detaillee sur les besoins en matiere de donnees et les nombreux obstacles auxquels se heurtent les chercheurs lorsqu'ils tentent de mener de la recherche sur ces questions au Canada. On soutient que la communaute universitaire doit jouer davantage un role de leader et aider a etablir un programme de recherche qui facilitera l'elaboration d'initiatives politiques efficaces. INTRODUCTION In October, 2002, The Toronto Star began publication of a series of articles on the topic of race and crime (see Rankin et al., 2002a, 2002b, 2002c). The Star's analysis of arrest data from the Toronto Police Service revealed that black people are highly over-represented in certain offence categories--including drug possession, drug trafficking, and serious violence. The Star maintained that this pattern of overrepresentation is consistent with the idea that the Toronto police engage in racial profiling and that minority offenders are treated more harshly after arrest than their white counterparts (Rankin et al. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.356

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0120.002
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.456
GPT teacher head0.517
Teacher spread0.061 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations60
Published2003
Admission routes2
Has abstractyes

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