Bibliographic record
Abstract
La mise en place de zones protégées est une pratique répandue pour atteindre des objectifs de conservation environnementale. Elle est toutefois critiquée sous prétexte qu’elle restreint l’exploitation des ressources naturelles et le développement agricole. Aussi, le développement de l’écotourisme dans les zones protégées apparait comme une utilisation alternative de la terre qui allie les objectifs de conservation et développement. Dans cet article, nous examinons la nature et la force de la relation entre protection du territoire, écotourisme et bien-être monétaire, au Népal. Nous utilisons la méthode de la régression PLS sur des données microéconomiques en coupe transversale. Nous trouvons une relation positive entre conservation et bien-être, de même qu’entre écotourisme et bien-être. Enfin, la force de la relation entre conservation et bien-être semble s’amplifier dans les zones où l’écotourisme se développe. Classification JEL : I31 ; Q26 ; O13.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".