Guichet unique, réalité plurielle : résultats d'une enquête européenne
Bibliographic record
Abstract
Résumé Le concept de guichet unique est un concept très porteur dans les administrations publiques. De très nombreux discours et programmes de réforme des administrations en font aujourd’hui le fer de lance de la modernisation des administrations. Par contre, peu d’études empiriques ont été menées sur l’état de développement du guichet unique au sein des administrations publiques. L’article vise à présenter de manière synthétique les résultats d’une recherche européenne conduite dans le cadre du programme COST (projet COST A14). Cette recherche a permis de rassembler 100 études de cas dans 11 pays européens. Partant de l’analyse de ces études de cas, le présent article essaie de dresser une typologie des modalités de déploiement des guichets uniques au sein des administrations afin de démontrer que sous un même concept se cachent des réalités organisationnelles et informationnelles très différentes.
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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 | 0.019 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".