Welfare and carcass and meat quality of pigs being transported for two hours using two vehicle types during two seasons of the year
Bibliographic record
Abstract
Correa, J. A., Gonyou, H. W., Torrey, S., Widowski, T., Bergeron, R., Crowe, T. G., Laforest, J. P. and Faucitano, L. 2013. Welfare and carcass and meat quality of pigs being transported for two hours using two vehicle types during two seasons of the year. Can. J. Anim. Sci. 93: 43–55. A total of 3756 pigs were transported for 2 h in summer and winter using a “pot-belly” trailer (PB) and a hydraulic double-decked truck (DD) in order to assess the effect of vehicle design on animal welfare and carcass and meat quality. Animal welfare was assessed in randomly selected barrows by measuring heart rate of pigs and lactate and creatine phospho-kinase (CPK) concentrations in exsanguination blood. Skin damage was scored and meat quality was evaluated in the longissimus dorsi (LD), semimembranosus (SM) and adductor (AD) muscles. Heart rates in winter were higher (P< 0.01) during transport, at unloading and in lairage. Blood CPK and lactate concentrations at slaughter were higher (P<0.05 and P<0.01, respectively) in pigs transported on the PB trailer. Bruises increased in winter (P<0.001) and in pigs from the DD truck (P<0.05). The pHu was higher (P< 0.01) in all muscles and L* value was lower (P<0.05) in the LD muscle from pigs transported in the PB trailer. Overall, the results of this study indicate that the type of vehicle, animal location in the truck and the season affect the welfare of pigs during transport with clear consequences on skin bruises and pork quality variation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".