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Record W2146160398 · doi:10.7202/1005795ar

La justice et les victimes : l’importance de l’information pour les victimes

2011· article· fr· W2146160398 on OpenAlexaffvenueabout
Jo-Anne Wemmers, Émilie Raymond

Bibliographic record

VenueCriminologie · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversité de MontréalInternational Centre for Comparative Criminology
Fundersnot available
KeywordsPolitical scienceHumanitiesEthnologySociologyPhilosophy

Abstract

fetched live from OpenAlex

Depuis les années 1980, les gouvernements occidentaux, incluant celui du Québec, ont travaillé à améliorer la condition des victimes d’actes criminels. Les droits fondamentaux des victimes tels que les droits à l’information, à la réparation et à la protection ont été entérinés par des lois. De plus, en droit international, la nouvelle Cour pénale internationale accorde aux victimes le droit de participer aux procédures ainsi que le droit de demander réparation. Malgré ces innovations, nous continuons aujourd’hui d’entendre des plaidoyers en faveur des victimes pour que justice leur soit rendue. Ce débat public soulève la question suivante : à quel moment les victimes croient-elles que justice est rendue et quels facteurs influencent cette perception ? Dans cet article, nous présentons une recherche sur les perceptions qu’ont les victimes d’actes criminels de la justice et nous étudions l’impact de l’information sur leur perception de la justice.

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)0.004
metaresearch head score (Gemma)0.017
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.009
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.250
GPT teacher head0.376
Teacher spread0.126 · 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

Citations4
Published2011
Admission routes3
Has abstractyes

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