Développement touristique et éducation relative à l’environnement : Conflits de représentations autour du projet de valorisation muséographique d’un territoire
Bibliographic record
Abstract
Dans un secteur rural au nord-est de la France, une collectivité locale souhaite relancer son économie en développant un projet de tourisme proposant diverses approches d’éducation relative à l’environnement, centrées sur l’environnement-nature. Pour la conception de ce « Pôle Nature », des personnes aux intérêts parfois très divergents (élus, chasseurs, pêcheurs, agriculteurs, naturalistes, scientifiques, éducateurs, etc.) ont été sollicitées. Dans le cadre de cet article, nous souhaitons montrer que les principales réserves et réticences exprimées sur ce projet peuvent s’interpréter par la présence d’un conflit de représentations relatives aux pratiques touristiques entre des acteurs ayant des rapports à la nature différents.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".