La valeur économique des milieux humides du Québec
Bibliographic record
Abstract
La réduction des milieux humides est un phénomène international qui touche aussi le Canada, tout comme le Québec. Les principales causes de cette dégradation sont le réchauffement climatique et l'activité humaine avec le drainage des milieux humides. Dans la littérature, il y a plusieurs méthodes d'évaluations économiques des milieux humides, mais l'évaluation contingente reste la plus utilisée. Le but de ce mémoire est de déterminer avec une approche qui s'appelle le "choice experiment" quelle est la volonté à payer pour la préservation des milieux humides québécois. Les modèles "conditional logit" et "mixed logit" sont les outils utilisés pour révéler les préférences de nos répondants québécois. Les résultats indiquent que nos répondants québécois préfèrent des milieux humides d'une meilleure qualité environnementale.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".