Regards sur les systèmes de paiements pour services écosystémiques en milieu agricole au Québec
Bibliographic record
Abstract
Malgré l’intérêt croissant qu’ils suscitent, les instruments de « paiements pour services écosystémiques » (PSE), sont encore loin d’être les stratégies politiques dominantes dans la conservation de la biodiversité et la protection du milieu, au Québec comme ailleurs. Afin de comprendre si les systèmes de PSE en place au Québec permettent d’augmenter le potentiel d’action des politiques publiques dans le domaine agricole, nous présentons d’abord un survol des différents dispositifs politiques de SE au Québec et situons le rôle qu’occupent, dans ces dispositifs, les programmes de PSE. Nous répondons ensuite à la question plus spécifique de savoir comment les programmes de PSE mis en place dans le domaine agricole au Québec peuvent contribuer à améliorer les dispositifs politiques existants.
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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 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".