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Farinelli : Elevage de porcs mâles non castrés et valorisation des carcasses en agriculture biologique

2025· article· fr· W4417221756 on OpenAlexfundno aff
Sarah Lombard, Armelle Prunier, Rodolphe Vidal, Florent Massoulier, Bénédicte Lebret, Chloé Van Baelen, Alexandre Poisssonnet, Florence Maupertuis, Alexandre Tortereau, Samuel Frois, Antoine Roinsard

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2025
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsnot available
FundersMinistry of Agriculture - Saskatchewan
KeywordsSkatoleAndrostenoneAgricultureOrganic farmingSheep milk

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.002

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.

Opus teacher head0.021
GPT teacher head0.251
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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