Les ambiguïtés du processus disciplinaire applicable aux juges de nomination fédérale
Bibliographic record
Abstract
Établi par la Loi sur les juges il y a près de quarante ans, le mécanisme de plainte à l'égard des juges de nomination fédérale n'a jusqu'à présent donné lieu qu'à une dizaine d'enquêtes publiques relativement à des inconduites judiciaires.Cette situation peut s'expliquer par l'existence de nombreuses étapes devant être franchies par le Conseil canadien de la magistrature avant qu'un comité d'enquête ne soit constitué.De plus, l'absence d'un encadrement législatif précis complique la mise en œuvre de la déontologie judiciaire au niveau fédéral, notamment quant à la sanction des inconduites mineures.Le présent texte soulève quelques interrogations quant à l'efficacité réelle de ce mécanisme, tel qu'il existe actuellement, par rapport aux attentes légitimes des justiciables envers les institutions judiciaires et leurs membres. * .
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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 | 0.030 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.030 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".