Descriptive analysis of the most common types of food safety infractions at ready-to-eat meat processing plants in Ontario, Canada
Bibliographic record
Abstract
Food safety inspections of meat processing plants and abattoirs that process ready-to-eat (RTE) meats have identified a lack of compliance with good manufacturing practices. This study was undertaken to identify common food safety infractions in the RTE meat processing sector in Ontario through an analysis of historical audit records. A total of 376,457 audit item results were evaluated across 912 unique audits of 204 different RTE meat plants. A nearly two-thirds overall item pass rate (64.4%; n = 242,478) was identified. Across all other risk categories, the highest rates of infractions were observed in the “maintenance of premises, equipment and utensils” (56.7%; n = 750). The overall item pass rate was higher in free-standing meat processing plants than abattoirs, while pass rates gradually decreased across the study period. The results of this study have identified key areas for improvement in future inspection, audit and outreach with RTE meat processing plants.
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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".