Bibliographic record
Abstract
Le bien-être des habitants est un des objectifs des politiques publiques. Aussi, est-il bienvenu de proposer des méthodes qui placent le bien-être au centre des diagnostics territoriaux. Cet article présente un outil cartographique participatif, nommé Escapat, de mise en œuvre d’un diagnostic territorial de manière collective. Il permet de déterminer les éléments essentiels de bien-être pour les habitants du territoire sur lequel il est utilisé. Dans cet article, Escapat est utilisé dans trois espaces ruraux isolés de la Drôme et d’Ardèche (France) auprès de groupes d’habitants. L’expérimentation de l’outil Escapat souligne sa capacité à activer la gouvernance territoriale en tant que support et espace de discussion entre habitants. Il révèle aussi les dimensions socio-spatiales du bien-être. De nouvelles questions émergent en matière de recherche et de prospective territoriale : logiques d’accumulation des éléments préférentiels de bien-être, disponibilité et nombre de services de la vie courante en milieu rural isolé.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".