New resources to address antibiotic resistance are just a click away
Bibliographic record
Abstract
Antibiotic resistance is a complex issue with multiple causes, and there are many roles to play in addressing it. As part of its response, the Public Health Agency of Canada is launching a pilot antibiotic awareness campaign for Canadian families and health care professionals. Coinciding with Antibiotic Awareness Week, starting on November 17, 2014, the goal of this campaign is to improve knowledge and awareness of antibiotic resistance in Canada. To achieve this, the Agency has developed a suite of resources for both Canadian families and health care providers featuring a variety of key messages explaining antibiotic resistance, why it is important, and how to reduce the risks associated with it. Resources for Canadian families include an online informational video, an educational brochure, and infographics for both adults and children. Resources for health care professionals include two online Continuing Medical Education Modules, a letter that physicians can sign and provide to parents explaining why an antibiotic was not prescribed, and two webinars to present trends in antimicrobial resistance (AMR) and antimicrobial use. Health professionals will also receive an electronic postcard and a bilingual campaign poster. Promoting the campaign messages and using these campaign resources will support health professionals in discussions about antibiotic resistance with their patients or clients, and in their continuing efforts to be part of the solution in addressing this important global health challenge.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.360 | 0.165 |
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".