Soigner autrement ses animaux : la construction par les éleveurs de nouvelles approches thérapeutiques
Bibliographic record
Abstract
Les approches alternatives en santé animale sont devenues courantes dans les élevages, bien que leur efficacité soit contestée par nombre de scientifiques et de vétérinaires. Suivant les principes de la sociologie pragmatique, les auteures ont formalisé le processus par lequel les éleveurs s’approprient ces approches, en reconstituant les quatre scènes au cours desquelles ils s’y confrontent : la formation, l’essai en ferme, le travail en groupe d’éleveurs, la consultation individuelle de spécialistes. Les usages que les éleveurs font de ces approches alternatives relèvent alors de la figure de l’amateur : ils articulent différentes approches pour soigner leur troupeau, ce qui implique une coordination entre leurs propres interventions et celles des autres professionnels de santé.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".