Transport of horses for slaughter in Iceland
Bibliographic record
Abstract
Abstract There is interest in the transportation of horses (Equus caballus) to slaughter and a need to assess the welfare implications of this practice. Forty-six loads of 7-35 horses transported for 0.33 to 3.10 h to a slaughter plant in Iceland were studied. Adults and foals were transported together and then placed in separate pens overnight in the lairage. This acted as a weaning procedure for the foals. Between one and eleven horses per load (59 adults and 129 foals) were observed during loading and at the slaughter plant, blood was sampled at slaughter and carcases were observed. No wounds were observed before transport, but 1.6% of horses had small, superficial bleeding wounds after transport. The respiration rate was greater after, compared to before, transport. Blood lactate concentration measured after lairage and slaughter was greater than normal in both adults and foals, 13% of adults and 20% of foals had a blood glucose concentration lower than normal, and 58% of adults and 25% of foals had a plasma total protein concentration greater than normal. Forty-four percent of adults and 17% of foals were bruised. There were no pre-existing conditions affecting the fitness of the horses for transportation. The effects of transport on the physiological responses and the severity of bruising were relatively minor. However, the results suggested that the handling, transport and lairage of the horses resulted in injury and signs of exertion or stress that were not compatible with optimal management practices. The mild dehydration in adults might have been associated with restricted access to drinking water during lairage of lactating mares. Controlled studies are required to identify the specific practices used in Iceland that result in injury and dehydration.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".