L'efficacité du broutage par les moutons pour la gestion de la concurrence des herbes adventices dans de jeunes plantations de conifères en Colombie-Britannique au Canada
Bibliographic record
Abstract
La gestion de la végétation par des moutons (GVM) ou Sheep Vegetation Management (SVM) est une méthode biologique de gestion de la végétation concurrentielle dans des plantations de conifères, relativement récente en Colombie-Britannique (C-B). La présente étude comporte un volet biologique et un volet économique. Le premier se concentre sur la réponse de la croissance de l’épinette hybride (Picea glauca x Picea engelmannii) après le broutage des moutons en comparant des sites pâturés et non pâturés. Le second consiste en une évaluation de la rentabilité du SVM selon le nombre de pâturages appliqués. Les résultats suggèrent que le pâturage favorise la croissance en longueur internodale de l’épinette hybride. Pour rendre la SVM rentable dans les plantations de conifères, il est nécessaire de raccourcir la période de rotation. Ainsi, ce mémoire permet de combler certaines lacunes existantes sur le sujet en vue de promouvoir cette méthode en C-B.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".