Farinelli : Elevage de porcs mâles non castrés et valorisation des carcasses en agriculture biologique
Bibliographic record
Abstract
Rearing entire male pigs is of great interest in organic farming to improve animal welfare conditions (castration no longer required). But this raises questions about breeding practices, the expected rate of odorant (boar-tainted) males, and the use of carcasses from non-castrated males (NCM). There is a risk of boar-tainted pork in case of high androstenone and skatole concentrations. Results from an observatory set up on six farms have shown that it would be possible to contain the risk of boar-tainted males’ carcasses to a few percent. This work also provided recommendations for breeders. Experiments carried out at the Porganic experimental farm confirmed the positive effect of dietary fibers on the decrease in pork (backfat) skatole content and highlighted the favorable effects of the feeding strategy on other pork quality properties. Finally, sensory tests on various pork products have confirmed the benefits of diluting pork at risk for boar taint with pork from female pigs to use the meat from NCM in organic farming.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".