Systèmes de polyculture élevage laitiers évoluant vers l’AB Renforcement des interfaces cultures/élevage
Bibliographic record
Abstract
Cet article présente, d’un point de vue d’agronome, les connexions entre les cultures et l’élevage dans les systèmes de polyculture élevage ayant évolué vers l’économie en intrants et l’agriculture biologique (AB). Il s’appuie sur l’analyse des trajectoires d’évolution (i) d’un système de polyculture-élevage expérimentale de l’INRA, et (ii) de deux exploitations du réseau agriculture durable. L’étude montre que le rapport entretenu par les agriculteurs au territoire de l’exploitation a changé : la recherche d’autonomie et la désintensification s’accompagnent d’une re-localisation de la production agricole et d’une dé-spécialisation de l’utilisation du territoire de l’exploitation. Les agriculteurs font évoluer leur système vers une nouvelle organisation et un nouveau fonctionnement accentuant les interactions entre cultures et élevage au profit de l’autonomie, ce qui requiert de nouveaux savoir-faire des agriculteurs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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; both teacher heads agree on what is shown here.
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".