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Record W2018170090 · doi:10.7202/1023201ar

La réforme du droit entre action sociale et choix systémiques : réflexion à partir d’une étude de cas sur les demandes de modification des règles de procédure du Code criminel canadien

2014· article· fr· W2018170090 on OpenAlexaffvenueabout
Margarida Garcia

Bibliographic record

VenueRevue générale de droit · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Dans cette étude, nous nous sommes intéressée à l’action sociale qui précède le processus formel de création du droit pénal, plus spécifiquement aux traces qu’elle laisse dans les élans de réforme des normes de procédure criminelle. Notre étude porte sur les demandes de réforme au Code criminel acheminées par des groupes sociaux au ministère de la Justice du Canada pendant les premières 35 années de vie du Code. L’analyse tient évidemment compte de qui a demandé quoi et pourquoi, mais ultimement, elle cherche à problématiser, face à ces demandes de réforme, la rationalité qui amène le système politique à choisir telle demande plutôt que telle autre, à exclure celle-ci pour mieux retenir celle-là, à distinguer celles qui « méritent » une consécration législative et celles qui ne la méritent pas. Notre but est de décrire le processus de réforme du droit criminel en thématisant le rapport entre la production sociale d’attentes normatives et la sélection formelle de quelques-unes d’entre elles par le système politique.

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)0.009
metaresearch head score (Gemma)0.020
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: none
Teacher disagreement score0.511
Threshold uncertainty score0.972

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.027
Scholarly communication0.0100.004
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.123
GPT teacher head0.366
Teacher spread0.243 · 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

Citations1
Published2014
Admission routes3
Has abstractyes

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