Processus décisionnels, justice naturelle et équité procédurale dans la jurisprudence comparée de la Cour fédérale et des cours ontariennes et québécoises
Bibliographic record
Abstract
Natural justice and fairness (the « new natural justice ») are well known notions of administrative law. They constitute traditional and newer limits on administrative action. This article analyses these two principles, both as to their nature and the extent to which they are respected by administrative bodies and by government (the Crown and central departments). This latter aspect is illustrated by cases pertaining to the judicial control exercised by the Federal Court of Canada and the Ontario and Quebec superior courts. The approach followed is a comparative one. The paper attempts to identify those judicial trends within the three systems studied which [emphasize] [differences and similarities] in their responses to the various practical issues raised by natural justice and fairness and their respect in administrative decision-making processes. Thus, the study attempts to retrieve from the case law considered those notional and methodological elements, or principles, which structure judicial control and judical reasoning in solving the issues raised by the processes in motion.
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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 | 0.018 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.036 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| 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".