Politisation du pouvoir judiciaire et judiciarisation du pouvoir politique : la séparation traditionnelle des pouvoirs a-t-elle vécu ?
Bibliographic record
Abstract
Emphasis has recently been placed on the danger of governmental agencies moving in the direction of what may be termed "judiciallisation", as a result of the growing tendency of the government to become involved in adjudication. Meanwhile, very little attention has been given to the independence of the judiciary, the watchdog over the governmental processes. On the one hand, professors Brun and Lemieux realize that the prerequisites of the independence of some governmental activities are just maintained and that the Courts have adapted different tests to different type functions. On the other hand, they realize that the independence of the judiciary is at the same time more and more endangered. Government designations of judges, interventions in, and associations with, the judiciary may convince many people that the latter is but a branch of the former. Moreover, the Courts themselves generally show too dormant an attitude in this area.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.047 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".