Enforcing the Canadian Prohibition of Overcrowding Livestock in Transit Without Resorting to Science
Bibliographic record
Abstract
Administrative law is about articulating norms and promoting the adoption and enforcement of human behaviour practices in areas where individual choice conflicts with the public good. Law must fairly describe to the citizenry what is allowed and what is conditionally restricted by administrative law and what is prohibited in criminal law. The conditional use of animals in industrial production of food and fibre for human consumption is allowed (non-criminal), but the conditions which are considered acceptable by society are changing. Humane transportation of livestock is a public concern and the temptation of transporters to load as many animals as possible is an easily understood risk to animal welfare. Livestock hauling has been regulated in Canada since 1857 and is currently regulated by the Health of Animals (Act) Regulations Part XII and enforced nationally by the Canadian Food Inspection Agency. After over 30 years of challenging industry consultation, a major revision to the humane transport provisions was proclaimed in 2020. Surprisingly, the revision failed to articulate numerical thresholds that clearly indicate an overcrowding violation. This paper reviews 20 cases from 2004 to 2024 where transporters appealed a penalty for overcrowding livestock transported by land. The paper describes the decision to penalize transporters where there is no bright line definition of an offence. The paper suggests both regulator and regulated choose to work in an intentionally inefficient institutional arrangement, preferring opacity to clarity in what constitutes a violation in law, because "that's the way we like it".
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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 | 0.001 |
| 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".