La fourniture de biens publics agro-environnementaux par l'action collective
Bibliographic record
Abstract
La fourniture de biens publics agro-environnementaux par l’action collective passe en revue l’expérience de plusieurs pays Membres de l’OCDE dans le but d’analyser comment l’action collective peut être efficace pour promouvoir la fourniture de biens publics agroenvironnementaux, tels que la biodiversité et les paysages. L’étude porte sur vingt-cinq cas dans 13 pays (Australie, Belgique, Canada, Finlande, France, Allemagne, Italie, Japon, Pays-Bas, Nouvelle-Zélande, Espagne, Suède et Royaume-Uni). L’étude montre que l’action collective est une voie à envisager sérieusement pour traiter de nombreux problèmes liés à l’agriculture et aux ressources naturelles, et qu’elle devrait être expressément encouragée dans certaines situations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".