Les référentiels, les médiateurs et la mise en cohérence de l’action publique territoriale au Québec (2000-2016)
Bibliographic record
Abstract
À l’aide des notions de référentiel, d’acteur-médiateur et de ressource, ce texte montre que la redéfinition de la gouvernance municipale et territoriale québécoise au cours de la période 2000-2016 découle de trois facteurs principaux : l’accentuation du référentiel de redressement des finances publiques; les efforts de mise en cohérence du secteur municipal avec les normes socioéconomiques qui caractérisent ce référentiel; l’impact des changements ainsi apportés sur la structuration du secteur et le positionnement des acteurs sociaux. Si l’étude montre que l’analyse par les référentiels s’avère pertinente pour comprendre la transformation des politiques publiques, il ressort aussi que les changements de gouvernement, le temps et les stratégies des acteurs jouent un rôle.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".