Analyse des mobilisations autour des sentiers de Balagne (Corse), l’innovation territoriale par les pratiques de loisirs de nature en question
Bibliographic record
Abstract
Cet article se base sur l’analyse d’une recherche ethnologique menée entre 2014 et 2018 en Balagne, sur le littoral nord-ouest de la Corse. Après avoir analysé les mobilisations habitantes et les politiques publiques locales portant sur les sentiers de proximité, nous nous demanderons si les chemins ruraux peuvent constituer un « bien commun » mobilisateur pour enclencher une dynamique territoriale vertueuse, à la fois respectueuse de l’environnement et des habitants. La dynamique collective observée peut-elle être analysée comme un processus d’innovation territoriale visant un développement « juste » et intégré d’un espace écologiquement fragile et soumis à une pression anthropique forte ?
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".