From Slow Food to Slow Meat: Slowing Line Speeds to Improve Worker Health and Animal Welfare in Canadian Abattoirs
Bibliographic record
Abstract
This article examines the regulation of production line speeds in Canadian meat and poultry processing facilities to better understand their impact on worker safety and animal welfare. The article begins with an overview of the regulatory framework that sets line speed conditions in federally licenced facilities. It notes how recent shifts in food safety governance facilitate increased speeds that endanger workers and animals on the kill floor. First, it highlights tensions between regulatory objectives in the Safe Food for Canadians Regulations that focus on food safety targets and humane handling guidelines respectively. It then turns to the occupational health and safety risks associated with working at meat and poultry processing facilities. Particular emphasis is placed on the way that COVID-19 outbreaks in Canadian slaughterhouses drew attention to this grueling work that had previously been ignored. The article concludes by noting that the pandemic has created a unique policy window to slow down production speeds; a policy window that should be seized.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".