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Record W2203871222

One Step Forward, Two Steps Back: Gladue at Ten and in the Courts of Appeal

2009· article· en· W2203871222 on OpenAlexaffabout
Kent Roach

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSupreme courtSeriousnessJurisprudenceAppealLawContemptPolitical scienceImprisonmentRemorseEconomic JusticeCriminologySociologyPsychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

This paper provides an outline of the appellate jurisprudence interpreting and applying the Supreme Court of Canada’s jurisprudence in Gladue. The decision interpreting the instruction in s. 718.2(e) of the Criminal Code for judges to consider reasonable alternatives to imprisonment “for all offenders, with particular attention to the circumstances of aboriginal offenders” inspired both intense hope and intense controversy. The acceptance of Gladue, as well as its failure to reduce Aboriginal overrepresentation, begs the question of how Gladue is applied in courts throughout the country. The first part of this article briefly outlines how the Supreme Court interpreted s. 718.2(e) in Gladue and in the subsequent case of Wells. The second part of this paper examines reported sentence appeals taken by the Crown from the sentencing judgments in which the trial judge has applied Gladue. The third part of this article examines appeals by the accused alleging that the trial judge has erred in applying s. 718.2(e) and Gladue. The fourth part of this article examines decisions that deal with the scope of Gladue, and in particular whether it applies to non-sentencing proceedings such as bail, contempt and dangerous offender proceedings. If Gladue remains an important step forward in recognizing the failures of the justice system with respect to Aboriginal people, its implementation at a national level represents two disappointing steps back: the failure to reduce Aboriginal overrepresentation and the focus on the seriousness of the offence.

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)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 integrity0.0000.001
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 head0.015
GPT teacher head0.291
Teacher spread0.276 · 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 designTheoretical or conceptual
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

Citations13
Published2009
Admission routes2
Has abstractyes

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