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Record W2522215720 · doi:10.7202/1068048ar

LES SOURCES ET FONDEMENTS DE L’OBLIGATION DE COOPÉRER AVEC LA COUR PÉNALE INTERNATIONALE

2020· article· fr· W2522215720 on OpenAlexvenueno aff
Pierrot Damien Massi Lombat

Bibliographic record

VenueRevue québécoise de droit international · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesObligationPhilosophyLaw

Abstract

fetched live from OpenAlex

La justice pénale internationale redonne aux victimes des crimes graves le sentiment que l’humanité ne reste pas insensible face à leurs souffrances. D’où la place symbolique qu’occupe la Cour pénale internationale (CPI) au sein de la société interétatique. Les crimes relevant de la compétence de la Cour ont heurté la conscience universelle. La communauté des États a donc un intérêt aussi bien moral que juridique pour engager la responsabilité des auteurs de ces actes odieux, notamment lorsque les États mis en cause ne veulent ou ne peuvent pas le faire. C’est ainsi que l’obligation de coopérer avec la Cour a été imposée à des États défaillants tels que le Soudan et la Libye. Cette contribution présente les sources et les fondements juridiques de l’obligation de coopérer avec la CPI. Précisément, elle démontre que l’obligation de coopérer avec la Cour est fondée aussi bien sur le droit international conventionnel que sur le droit international coutumier. Donc, étant soumis au droit international des traités, les États parties sont tenus de respecter les dispositions du Statut de Rome. Toutefois, l’obligation de réprimer les crimes de jus cogens ou la responsabilité de protéger peuvent obliger des États non parties à coopérer avec la CPI.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.023
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0060.005
Scholarly communication0.0080.002
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.002

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 head0.031
GPT teacher head0.296
Teacher spread0.265 · 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 designTheoretical or conceptual
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

Citations1
Published2020
Admission routes1
Has abstractyes

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Same venueRevue québécoise de droit internationalSame topicInternational Law and Human RightsFrench-language works237,207