Pan-Canadian framework for action on antimicrobial resistance and antimicrobial use
Bibliographic record
Abstract
Antimicrobial-resistant infections are becoming more frequent and increasingly difficult to treat, and this situation is exacerbated by the widespread use of antimicrobials in both human and veterinary medicine and by the agriculture industry. As part of Canada's coordinated response to addressing antimicrobial resistance (AMR), Tackling Antimicrobial Resistance and Antimicrobial Use: A Pan-Canadian Framework for Action, was released in September 2017. The Framework is a high-level policy document that outlines the strategic objectives, outcomes and opportunities to guide collaborative action on AMR and antimicrobial use (AMU). It is grounded in a One Health approach, and was developed in collaboration with federal, provincial and territorial governments and external stakeholders in the human and animal health sectors. The Framework is based on four components: surveillance; infection prevention and control; stewardship; and research and innovation. It builds upon existing AMR activities already underway in the human and animal health sectors and strives to connect these activities together to strengthen Canada's approach to AMR.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".