MétaCan
Menu
Back to cohort
Record W3127881258 · doi:10.3138/cjcrim.43.1.123

Making prisons safer and more humane environments

2001· article· en· W3127881258 on OpenAlexaffvenue
Paul Gendreau, David Keyes

Bibliographic record

VenueCanadian Journal of Criminology · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsHumanitiesPolitical sciencePrisonArtLaw

Abstract

fetched live from OpenAlex

Le débat en cours concernant les effets sur les détenus de divers aspects de la vie carcérale est très important, c'est même nécessaire pour que les professionnels de la correction gardent à la mémoire qu'il nous faut au moins rendre l'environnement carcéral sécuritaire et bienfaisant. À cette fin, dans ce texte, nous faisons ressortir les données obtenues dans trois récentes recherches quantitatives: (1) la prévision des inconduites dans la prison, (2) les types de programmes qui aident à réduire l'inconduite, et (3) les méthodes de gestion qui favorisent l'amélioration des conditions de vie des personnes incarcérées et de leur gardiens.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.097
GPT teacher head0.337
Teacher spread0.240 · 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 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

Citations43
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of CriminologySame topicCriminal Justice and Corrections AnalysisFrench-language works237,207