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Record W3125344318 · doi:10.1177/0011128721989077

To Serve and Protect Whom? Using Composite Counter-Storytelling to Explore Black and Indigenous Youth Experiences and Perceptions of the Police in Canada

2021· article· en· W3125344318 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCrime & Delinquency · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsCarleton University
Fundersnot available
KeywordsIndigenousStorytellingCriminologyMulticulturalismCriminalizationCriminal justiceLaw enforcementSociologyEconomic JusticePerceptionPolitical scienceLawNarrativePsychology

Abstract

fetched live from OpenAlex

Research based in the US and Britain have established that perceptions of the police are particularly low among youth and racialized communities. However, by contrast, little is known about racialized youth perceptions of the police within Canada. Due to formal and informal bans on the collection of race-based data, Canada maintains its international reputation as a tolerant multicultural society. Using the critical race methodology of composite counter-storytelling, this paper will highlight the perspectives of Black and Indigenous youth and explore their experiences with law enforcement. This aims to counter Canada’s international status as a multicultural utopia and demonstrate how legal criminal justice actors, such as the police, perpetuate the marginalized status of Black and Indigenous youth through the process of criminalization.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.354
Teacher spread0.261 · 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