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Record W7009839987

Femmes incarcérées : inertie institutionnelle dans l’emprisonnement au Canada et au Québec

2023· article· fr· W7009839987 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonGender identityHealth services
DOInot available

Abstract

fetched live from OpenAlex

En 2010, Service correctionnel Canada ferme deux prisons délabrées pour hommes. De son côté, et pour réduire sa surpopulation carcérale, le gouvernement du Québec loue l'une d'elles – l'établissement Leclerc de Laval – et y transfère environ 250 prisonniers masculins. L'année suivante, le gouvernement du Québec ferme inopinément sa principale prison pour femmes et déplace ces dernières à la prison Leclerc où logent les hommes. Les conditions déshumanisantes qu'elles y endureront seront dénoncées par des universitaires, des groupes de pression et des médias comme des violations des droits de la personne.\nL'emprisonnement des femmes résiste au changement malgré les études et les enquêtes gouvernementales ayant documenté, depuis le XIXe siècle, la situation précaire et les besoins spécifiques des femmes emprisonnées. Cet ouvrage propose une relecture critique de l'histoire carcérale des femmes au Canada et soutient que les politiques et les pratiques correctionnelles à leur endroit sont dépendantes au chemin parcouru et s'inscrivent, de manière pérenne, dans une trajectoire dominante et verrouillée.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.009
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.259
Teacher spread0.226 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueProject Muse (Johns Hopkins University)→Same topicCriminal Justice and Corrections Analysis→French-language works237,207→