MétaCan
Menu
Back to cohort
Record W7025080724

Too Few to Matter: Institutional Inertia in the Prisoning of Women in Canada and Québec

2023· article· en· W7025080724 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonDehumanizationImprisonmentGovernment (linguistics)Economic JusticePrison population
DOInot available

Abstract

fetched live from OpenAlex

In 2010, Correctional Service Canada closed two decrepit prisons designated for men. Hoping to reduce prison overcrowding, the Québec government rented one of them--the Leclerc prison--and transferred approximately 250 male prisoners serving a provincial sentence. One year later, Québec closed its main provincial prison designated for women, and swiftly transferred the women to the Leclerc prison where men were housed. At Leclerc, women endured dehumanizing conditions condemned by scholars, advocacy groups, and the media as violations of basic human rights. Challenging living conditions enduring at the Leclerc prison suggest that women's imprisonment is resisting significant change despite studies and governmental inquiries since the middle of the 19th century having documented the dire situation, and the specific needs of imprisoned women in Canada. This book proposes a critical rereading of women's penal history in Canada and argues that policies and practices regarding women's prisoning are path dependent and tend to follow a locked-in trajectory.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.982

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0430.022
Scholarly communication0.0090.002
Open science0.0030.005
Research integrity0.0020.003
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 head0.014
GPT teacher head0.232
Teacher spread0.219 · 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 designNot applicable
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 topicPost-Soviet Geopolitical DynamicsFrench-language works237,207