La professionnalisation comme outil de protection du territoire agricole québécois : « Il faut empêcher que se constituent des petites fermes non rentables »
Bibliographic record
Abstract
Cet article s’intéresse au rôle du zonage agricole dans la professionnalisation de l’agriculture québécoise et dans la limitation de l’accès à la profession d’agriculteur (1), ainsi qu’à ses conséquences pour le développement et le renouvellement de l’agriculture aujourd’hui (2). À partir d’anciens débats sur la protection du territoire et des activités agricoles, nous montrons que la question de la protection du territoire agricole est indissociable de celle de la professionnalisation de l’agriculture, et que les évolutions actuelles concernant la multifonctionnalité, bien qu’ambigües, invitent à s’interroger tant sur le modèle québécois en matière de protection des terres agricoles que sur les critères exclusifs sur lesquels repose la professionnalité agricole.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".