Élevage porcin et santé publique : risque, controverse et violence non intentionnelle
Bibliographic record
Abstract
Au Québec comme ailleurs, l’élevage porcin, considéré comme risqué par plusieurs, suscite questionnements et controverse. Des incertitudes scientifiques demeurent quant à ses effets sur la santé. D’où notre intention d’aborder, dans cet article, la question de l’influence de l’élevage porcin sur la santé psychologique et sociale. Une recension systématique a permis d’évaluer la pertinence et la qualité de la documentation scientifique à ce sujet. Les résultats montrent une association entre des effets sur la qualité de vie et ce type de production animale. En effet, la ferme porcine augmenterait la controverse et les clivages sociaux, et elle affecterait le sentiment d’appartenance à la communauté et au milieu. Elle constitue à ce titre un risque à la santé. Peut-on en l’occurrence parler de violence et, si oui, comment pourrait-on la prévenir ?
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".