Factory farming in Canada: Addressing imprudent antibiotic usage and the conditions experienced by non-human animals to enhance global health
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 it