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Record W187894889 · doi:10.29173/alr293

Aboriginal Youth Overrepresentation in Canadian Correctional Services: Judicial and Non-Judicial Actors and Influence

2015· article· en· W187894889 on OpenAlexvenueaboutno aff
Nate Cole Jackson

Bibliographic record

VenueAlberta Law Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDiscretionCriminal justiceCriminologyContext (archaeology)Economic JusticePolitical scienceJudicial discretionMass incarcerationLawSociologyJudicial reviewGeography

Abstract

fetched live from OpenAlex

The crisis of Aboriginal over-incarceration in Canada is one of the most well-documented features of our Criminal Justice System. This crisis is especially profound in the youth context. While the Youth Criminal Justice Act (YCJA) has reduced Canada’s overall youth incarceration rate in recent years, the relative proportion of detained Aboriginal youth has actually increased. This article explores Aboriginal youth overrepresentation in correctional services under the YCJA in an attempt to discern why it has been less effective at reducing custody rates for Aboriginal youth compared to their non-Aboriginal peers. This article suggests that the YCJA has failed to remedy Aboriginal youth overrepresentation because it has focused too heavily on sentencing principles and judicial discretion. It is argued that more attention must be paid to the earlier stages of the criminal justice process during which Police, Crown Attorneys, and Probation Officers exercise low-visibility discretion in ways that disproportionately circumscribe the eventual range of sentencing options available to Aboriginal youth offenders.

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.336
Teacher spread0.317 · 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 teacher head, 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

Citations8
Published2015
Admission routes2
Has abstractyes

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