La péréquation financière au Canada : quelles sont les raisons de la difficulté de réformer cet élément essentiel du fédéralisme canadien?
Bibliographic record
Abstract
La péréquation financière a pour but d’assurer à chaque gouvernement provincial suffisamment de ressources en vue de fournir aux citoyens des services de qualité comparable moyennant des taux d’imposition comparable. Il s’agit d’une obligation dans le chef du gouvernement fédéral. Celui-ci a tenté en octobre 2004 de réformer ce programme afin de le rendre plus simple et, surtout, plus prévisible. Aujourd’hui, cette réforme est au point mort. Outre la présentation du système initial, cet article met l’accent sur les raisons politologiques susceptibles d’expliquer les difficultés rencontrées par le fédéral dans sa tentative de réforme de ce système essentiel.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".