L’évolution du secteur bioalimentaire au Québec de 1961 à 2016
Bibliographic record
Abstract
La production agricole a subi de profondes transformations au cours des dernières décennies : spécialisation des entreprises, concentration au sein d’entreprises de plus en plus grandes, industrialisation des processus de production et intensification de l’usage des ressources. Toutefois, ces évolutions dans la production agricole masquent des différences entre les secteurs. Comment l’évolution sectorielle des productions agricoles a-t-elle façonné les territoires du Québec ? Dans une étude CIRANO (Royer et al. 2023), les auteurs analysent les dynamiques spatiales du secteur bioalimentaire sur plus de cinq décennies et identifient les principaux facteurs qui expliquent ces dynamiques. Il s’agit de la première étude qui examine les liens entre dynamiques spatiales et évolution sectorielle de l’agriculture.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".