Expulsions collectives: définition et portée de leur interdiction dans la jurisprudence de la Cour européenne des droits de l’homme
Bibliographic record
Abstract
Résumé L’article considère l’interdiction des expulsions collectives dans la jurisprudence de la Cour européenne des droits de l’homme. La Cour adopte un point de vue réaliste qui permet d’inclure dans cette interdiction les expulsions au sens strict et les actes de non-admission, exigeant aux États d’agir toujours de bonne foi. Or, elle n’y inclut pas les expulsions implicites, et rabaisse significativement la protection conventionnelle par l’exclusion de l’exigence d’un entretien individuel. La possibilité de son application extraterritoriale et l’impossibilité d’écarter la responsabilité étatique sur la base d’accords avec des États tiers montrent cependant la portée large accordée à l’interdiction.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.044 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".