Short communication: Condition of male dairy calves at auction markets
Bibliographic record
Abstract
Male dairy calves in North America are frequently marketed through live auctions. Calves have been observed in suboptimal condition both at auctions and upon arrival at calf-rearing facilities that supply the veal or dairy-beef industries. The objectives of this study were to describe the health of male dairy calves at a commercial auction in British Columbia, Canada, examine the relationships between calf price and condition, and use price data from other auctions to reflect more broadly on the variability in calf condition at auction markets. Price and breed were recorded for 1,624 male calves, and a sample of 355 calves was assessed using a standardized health exam and body weight estimation. Linear regression was used to assess which calf characteristics were associated with price. Prices for young dairy calves at auctions in 2 other provinces (Nova Scotia and Quebec) were compiled for comparison. Twenty percent of calves had at least one health abnormality; the most common was navel disease (12%), followed by ocular or nasal discharge (4%), a depressed (dull, unable, or unwilling to rise) attitude (2%), coughing (2%), and joint inflammation (1%). The mean (±SD) estimated body weight was 47 ± 8 kg with a range of 27 to 82 kg. Calves were sold for up to Can$370 (median Can$140), but 10.5% sold for Can$10 or less, and 2.8% were not sold at all. [The mean exchange rate over the course of this study (Oct. 2017 to Mar. 2018) was Can$1 = US$0.79.] Calves with a depressed attitude sold for lower prices than bright, alert calves. In addition, those with Brown Swiss or Jersey genetics sold for lower prices than those with Holstein genetics, and cross-bred calves with beef genetics sold for higher prices. During 2018, 62% of young dairy calves sold at the Nova Scotia auction and 18% of young Holstein calves sold in Quebec were classed as lower quality and sold for 23% and 40%, respectively, of the value of higher-quality calves. The results underline the need to develop solutions to reduce the risk of marketing calves in poor condition at auction markets.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".