Incidences des changements climatiques sur la compétitivité de quelques cultures du Québec
Bibliographic record
Abstract
Les changements climatiques provoqueront des modifications des conditions de la production agricole qui devraient se traduire par des impacts sur les rendements et les coûts de production des agriculteurs québécois. Ainsi, la position concurrentielle du Québec pourrait se trouver modifiée par rapport à d’autres régions productrices. À l’aide de la méthode Delphi et de budgets partiels, des scénarios d’impacts des changements climatiques à l’horizon 2050 ont été élaborés et leur impact sur la position concurrentielle du Québec et de ses principales régions concurrentes a été établi pour trois cultures : maïs-grain, pommes, sirop d’érable. Les résultats de l’étude montrent que la position concurrentielle du Québec devrait s’améliorer ou se maintenir pour les productions sous étude grâce à des conditions de production plus favorables au Québec (maïs-grain et pommes) ou à des conditions de production plus défavorables dans les régions compétitrices (sirop d’érable).
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".