LA POURSUITE DE DIRIGEANTS EN EXERCICE DEVANT UNE JURIDICTION NATIONALE POUR DES CRIMES INTERNATIONAUX : LE CAS DE LA FRANCE
Bibliographic record
Abstract
Les poursuites à l’encontre de dirigeants en exercice pour des crimes de guerre et contre l’humanité devant leurs propres tribunaux sont rares pour ne pas dire inexistantes, ce qui accrédite l’opinion qu’ils bénéficient d’une totale impunité. Depuis l’entrée en vigueur du Statut de Rome instituant une Cour pénale internationale (CPI), la qualité de chef d’État n’empêche en aucun cas la responsabilité pénale pour des crimes internationaux. Mais comme la CPI peut seulement exercer sa compétence de façon complémentaire aux juridictions nationales, la question se pose alors de savoir si les juridictions nationales sont en mesure de poursuivre des chefs d’État en exercice dans la mesure où ils sont présumés responsables des crimes relevant de la compétence de la CPI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".