Réglementer la qualité de l’eau potable au Québec : une analyse politico-administrative
Bibliographic record
Abstract
Cet article vise la compréhension du contexte et du jeu des acteurs ayant mené à l’adoption du Règlement sur la qualité de l’eau potable. Cette initiative a permis au Québec de se positionner parmi les États ayant des normes de qualité et des contrôles de production parmi les plus rigoureux sur le continent nord-américain. Une adaptation de l’approche contextualiste de Pettigrew (1990 ; 1992) est retenue comme cadre d’analyse. Cette approche insiste sur l’importance, au moment d’un changement, de l’interaction entre trois dimensions : le contexte, le contenu et le processus. De manière à préciser cette dernière dimension, il est proposé de recourir à l’idée de coalitions, un concept propre à l’approche des réseaux de politiques publiques. Cet apport permet de mieux cerner l’influence des organisations externes à l’appareil gouvernemental et de fournir une explication des relations entre les différentes dimensions du contextualiste.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".