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Record W2111258475 · doi:10.7202/004755ar

Situation risquée : le risque et les services correctionnels au Canada

2002· article· fr· W2111258475 on OpenAlex
Kelly Hannah‐Moffat, Margaret Shaw

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCriminologie · 2002
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversité de MontréalConcordia UniversityUniversity of Toronto
Fundersnot available
KeywordsPolitical scienceHumanitiesHabilitationPhilosophy

Abstract

fetched live from OpenAlex

Les auteurs avancent que la tendance à généraliser la gestion du risque comme une caractéristique répandue dans les sociétés modernes néglige la spécificité des constructions, des histoires et des applications particulières du terme risque dans un contexte social donné. L'article s'interroge sur le concept de risque dans le cadre de la recherche et de la politique du gouvernement fédéral canadien en matière correctionnelle. Plus particulièrement, il traite de la façon dont la construction du risque dans la recherche correctionnelle et dans les politiques visant l'évaluation et la gestion de tels risques fait référence à une norme d'homme blanc, de classe moyenne, ou, en d'autres mots, comment le risque est défini selon le genre et la race. Il aborde également la manière dont l'hybridation du risque et de la réhabilitation (évidente dans les concepts d'évaluation risque/besoin et de gestion risque/besoin) contribue à la réaffirmation de la réhabilitation, faisant ainsi apparaître un modèle mixte de gestion.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.186
GPT teacher head0.335
Teacher spread0.150 · 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