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Record W2900772054 · doi:10.1177/0032885518811807

The Last Bastion of Rehabilitation: Contextualizing Youth Correctionalism in Canada

2018· article· en· W2900772054 on OpenAlexaffabout
Michael Adorjan, Rosemary Ricciardelli

Bibliographic record

VenueThe Prison Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsMemorial University of NewfoundlandUniversity of Calgary
Fundersnot available
KeywordsPunitive damagesCriminologyPrisonContext (archaeology)Ideal (ethics)Economic JusticeSiegeCriminal justiceRehabilitationPolitical scienceSociologyPsychologyLawGeography

Abstract

fetched live from OpenAlex

This article draws on research conducted with Canadian provincial correctional officers who have experience with youth in closed-custodial settings since the enactment of the 2003 Youth Criminal Justice Act. In Canada, where attempts to avoid a full embrace of the punitive turn seem to be persistent, we examine youth justice as the “last bastion” of the rehabilitative ideal as mediated by youth correctional officers. Our findings reveal that while officers retain a clear commitment to the ideal of rehabilitation and a desire to “save” young people, they are increasingly under siege by the changing context of prison, shifting managerial priorities, and the paradox of trying to help convicted youth in an inherently punitive environment.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.193
Threshold uncertainty score0.936

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0450.017
Scholarly communication0.0110.003
Open science0.0030.011
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.292
Teacher spread0.270 · 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 designQualitative
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

Citations12
Published2018
Admission routes2
Has abstractyes

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