Volatilité dans l'utilisation des indicateurs de performance municipale : Bilan et nouvelle perspective d'analyse
Bibliographic record
Abstract
Sommaire Les indicateurs de performance municipale font l'objet d'un intérêt renouvelé par les provinces et villes canadiennes, comme dans plusieurs autres pays. À partir d'une revue des études publiées, cet essai enrichit la littérature sur deux points. Il établit un bilan des connaissances sur leur utilisation qui prend en compte la diversité des types d'indicateurs. Il propose aussi un cadre d'analyse de l'interface politico‐administrative locale qui aide à comprendre la variabilité et la volatilité dans l'utilisation de divers types d'indicateurs. Cette nouvelle perspective permet de mieux comprendre pourquoi l'utilisation des indicateurs de performance par les élus et administrateurs est limitée.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".