Livestock haulers' views about dairy cattle transport in Atlantic Canada
Bibliographic record
Abstract
Surplus dairy calves and cull cows are often transported from the dairy farm to a variety of destinations and may experience compromised health and welfare in the process. Increasing interest in farm animal welfare by many stakeholders, including the public and policymakers, has brought about recent changes to livestock transport regulations in Canada that have likely affected transport operations across the country. The Atlantic region may be especially affected as a result of a smaller number of farms, and geography that often requires cattle to be transported long distances. We interviewed 7 livestock haulers in Atlantic Canada regarding their attitudes toward the recent changes to the transport regulations, particularly with regard to how these changes affected their business practices and dairy cattle welfare, as certain regulatory changes pertaining to calf transport were expected to disrupt existing transport practices. Thematic analysis of interview transcripts revealed 2 themes among participants: (1) calf (and sometimes adult cow) welfare and management during transport and on the dairy farm, and (2) feasibility of transport requirements and the enforcement of the regulations, including animosity toward other haulers and the challenge of satisfying both regulatory bodies and farmer clientele. These findings provide insight into the perspectives of an important, and often overlooked, stakeholder in the dairy industry on the transport system and highlight the need for inclusion of diverse voices when creating new policy.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".