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Record W2905327954 · doi:10.7202/1054236ar

La jurisprudence de la Cour européenne des droits de l’homme

2018· article· fr· W2905327954 on OpenAlexvenueno aff
Gaëtan Cliquennois

Bibliographic record

VenueCriminologie · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Nous proposons d’analyser les développements jurisprudentiels de la Cour européenne en matière de prévention du suicide en prison et dans les commissariats de police et leurs effets paradoxaux sur les politiques de prévention conduites par les États condamnés par la Cour. Nous montrons d’abord que la philosophie jurisprudentielle à laquelle se réfère la Cour est marquée par une segmentation des risques suicidaires et une conception étroite et synchronique du passage à l’acte suicidaire des gardés à vue et des détenus qui s’oppose au paradigme de la réaction sociale. Nous montrons ensuite que, sous la pression exercée par le Comité pour la prévention de la torture et des associations nationales de défense des droits des détenus, les arrêts de la Cour conduisent les États à adopter des politiques de prévention du suicide marquées par une rationalité à la fois actuarielle et punitive. Ceci n’empêche pas la jurisprudence européenne d’être au fondement d’un nouveau contrôle opéré sur les lieux privatifs de liberté auquel peuvent contribuer les familles de détenus suicidés.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.024
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.017
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.268
GPT teacher head0.428
Teacher spread0.160 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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