Restricting the ability of sows to move: a source of concern for some Brazilians
Bibliographic record
Abstract
Abstract Gestation stall housing for pregnant sows (Sus scrofa) has been, or is being, phased out in many parts of the world in response to public criticism. However, in Brazil, one of the largest global producers and exporters of pork, gestation stall housing is still common. The objective of this study was to explore the views of Brazilians, including participants associated (ALP) or not with livestock production (NotALP), on gestation stall housing. Participants were provided the option of accessing a short text describing the housing system and a video of pregnant sows housed in either individual or group housing. Participants (ALP; n = 176, NotALP; n = 173) were asked to state their position on housing pregnant sows in individual stalls and to provide the reason(s) justifying their position. More NotALP (87%) participants than ALP (69%) participants rejected individual stalls. More participants (85%) that accessed the optional information rejected the stalls than those (71%) that did not. Qualitative analyses revealed that animal welfare, most often in reference to animal sentience, freedom of movement and ethics, was the main justification given for rejecting gestation stalls. Those in favour of individual stalls justified their position with statements such as improved production, handling and animal health, and reduced aggression. This qualitative, exploratory study, based on a convenience sample of participants, does not represent the views of Brazilian society; however, it identified some shared values between participants associated with livestock production and those that are not. Our findings highlight that opposition to gestation stalls for sows reflects an ethical position regarding the treatment of livestock and should not be interpreted as support for group housing in confined systems.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".