Les origines et les fondements du recours au consensus en droit européen des droits de l’Homme
Bibliographic record
Abstract
La notion de consensus joue un rôle primordial dans la jurisprudence de la Cour européenne des droits de l'Homme, notamment dans le cadre de l'interprétation de la Convention européenne des droits de l'Homme et de l'exercice du contrôle européen. Or, à une époque où le recours au droit international et au droit comparé se veut de plus en plus fréquent afin d'apporter des solutions aux cas difficiles, l'interprétation consensuelle telle qu'existant en droit européen des droits de l'Homme pourrait servir de guide aux instances nationales canadiennes et québécoises. À cette fin, il convient de se demander en quoi consiste cette technique d'herméneutique et d'où celle-ci tire ses origines.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".