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Record W2991630155 · doi:10.3917/cdlj.1803.0523

Punir les coupables, punir leurs familles ? Le point de vue canadien

2018· article· fr· W2991630155 on OpenAlexaffabout
Frédéric Megret

Bibliographic record

VenueLes Cahiers de la Justice · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsDawson College
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Résumé La peine de prison affecte souvent l'entourage familial du condamné ? Faux problème ou vrai question ? Frédéric Mégret nous informe sur les travaux théoriques qui permettent de documenter ce phénomène. L'invisibilité des familles interroge la rationalité pénale : affecter, est-ce punir ? Les familles peuvent être perçues comme composante active du crime, comme victime passive de sa punition ou comme vecteur de sa peine. La prise en compte de l'impact de la peine sur les familles pourrait fonder l'idée de réforme notamment lors de la détermination de la peine ou de l'aménagement de son exécution. Les familles pourraient être la pièce manquante de ce puzzle complexe, un trait d'union permettant de mieux comprendre comment l'individuel et le social sont imbriqués. La question des familles des condamnés est une invitation ouverte à repenser les systèmes de justice pénale.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.909
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.011
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.019
GPT teacher head0.284
Teacher spread0.266 · 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

Citations10
Published2018
Admission routes2
Has abstractyes

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Same venueLes Cahiers de la JusticeSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207