Impact of Covid-19 Crisis on Local Public Policy Management: Issues and Solutions
Bibliographic record
Abstract
La crise du Covid-19 met en évidence des problématiques managériales de différentes natures, qu’elles soient stratégiques, organisationnelles, informationnelles ou décisionnelles. Cette étude les analyse avant de proposer différentes solutions dans le cadre d’une amélioration des modes de pilotage des politiques locales. Ces solutions concernent alors des dimensions comportementales, instrumentales ou humaines, en mettant en jeu les collectivités locales, mais aussi l’ensemble de leurs parties prenantes, dont les habitants, les associations ou encore l’État. Un changement de paradigme y est avancé comme nécessaire, à travers quelques exemples, pour répondre aux mutations environnementales actuelles et à venir.
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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 | 0.015 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.022 | 0.001 |
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".