Efficiences technique et environnementale en agriculture: le cas du bassin de la rivière Chaudière au Québec
Bibliographic record
Abstract
Malgré l’imposition de normes environnementales strictes au Québec, l’impact des activités agricoles sur la qualité de l’eau demeure préoccupant notamment dans la région de Chaudière-Appalaches. Cette région est intensive en productions animale et végétale ce qui entraîne des surplus de phosphore, d’azote et de sédiments. Cette étude a pour objectif que d’analyser l’efficience technique et l'efficience environnementale des producteurs agricoles du bassin de la rivière Chaudière localisé au Sud de la ville de Québec. Nous adoptons une approche stochastique paramétrique appliquée aux fonctions de distance. Les données utilisées portent sur 210 fermes agricoles et les résultats obtenus montrent qu’il existe une forte corrélation entre les deux efficiences. De plus, comme le montrent d’autres études, la performance environnementale entraîne des coûts additionnels au niveau des exploitations agricoles.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".