Factory farming in Canada: Addressing imprudent antibiotic usage and the conditions experienced by non-human animals to enhance global health
Bibliographic record
Abstract
Antibiotic resistance has emerged as a significant global threat affecting humans, non-human animals, and the environment. The phenomenon is largely attributed to intensive animal agriculture, with disregard for the health and well-being of non-human animals including extreme confinement or overcrowding inducing immune stress and thus necessitating the prophylactic administration of antibiotics in food production. With both antimicrobial application and fatal multidrug-resistant infections projected to rise drastically over the next quarter century, a cohesive One Health approach is urgently required to promote global health and well-being. Using Guelph, Ontario as a point of focus, an internationally applicable strategy is proposed to overcome anthropocentrism, reduce factory farming and imprudent antibiotic usage, and apply alternatives to antibiotic-based therapies including bacteriophages on a larger scale, mitigating existing effects of resistance genes and sustainably preventing further emergence, an approach expected to positively impact the health of humans, non-human animals, and the environment.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".