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Record W2150390157 · doi:10.3138/cjccj.50.4.469

Factors Influencing Police Attitudes towards Extrajudicial Measures under the Youth Criminal Justice Act

2008· article· en· W2150390157 on OpenAlexaffvenueabout
Voula Marinos, Nathan Innocente

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsBrock UniversityUniversity of Toronto
Fundersnot available
KeywordsSeriousnessCriminologyCriminal justiceAccountabilityPolitical scienceEconomic JusticeLaw enforcementContext (archaeology)PsychologyLawGeography

Abstract

fetched live from OpenAlex

Extrajudicial measures under the Youth Criminal Justice Act require police to reorient their thinking about how to respond to youth. The act provides specific structure and guidance to police about the appropriateness of extrajudicial measures and does not preclude its use when a youth received one in the past. The emphasis on accountability and proportionality suggests that police ought to be driven by the seriousness of the youth's offending behaviour and much less by the youth's record. Drawing from a sample of 70 police officers from five jurisdictions within Ontario, our surveys (N = 70) and in-depth interviews (N = 64) with police reveal that they place relatively heavy weight on prior police contact of any kind (past extrajudicial measure or finding of guilt) and that this has a significant influence on their attitudes towards diverting youth for minor offences like mischief and shoplifting. The results are analyzed within the context of literature on police attitudes and decision making to divert in Canada.

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)0.004
metaresearch head score (Gemma)0.027
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 score0.715
Threshold uncertainty score0.566

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.306
GPT teacher head0.381
Teacher spread0.075 · 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

Citations25
Published2008
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicPolicing Practices and PerceptionsFrench-language works237,207