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Record W4230809896 · doi:10.3917/rsc.2001.0203

Notes bibliographiques

2020· article· fr· W4230809896 on OpenAlexaff
Philippe Bensimon, Julien Doris, Felicia Charland-Finaldi, Marc Leblanc, Myriam Laventure

Bibliographic record

VenueRevue de science criminelle et de droit pénal comparé · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité de SherbrookeUniversité de MontréalUniversity of Ottawa
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

The law of August 15, 2014, introduced restorative justice in France as a criminal law measure available at all stages of criminal justice. However, placed as a criminological measure within the criminal justice system, a shift toward the goal of preventing recidivism is possible. Confusion may arise with the circle of support and accountability (CoSA), one of the modalities within restorative justice measures. We will also look briefly at the traditional modalities of restorative justice and CoSAs, the benefits and limitations, and the links and possible confusions around the question of the reduction of recidivism. We will conclude by discussing the distinction and links between rehabilitation and restoration.

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)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.667
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0390.066
Science and technology studies0.0030.001
Scholarly communication0.0090.002
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6670.346

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 head0.136
GPT teacher head0.343
Teacher spread0.208 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractno

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