Accounting for variation in and overuse of antibiotics among humans
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
Worldwide, antibiotic use is increasing, but many infections against which antibiotics are applied are not even caused by bacteria. Over-the-counter and internet sales preclude physician oversight. Regional differences, between and within countries highlight many potential factors influencing antibiotic use. Taking a systems perspective that considers pharmaceutical commodity chains, we examine antibiotic overuse from the vantage point of both sides of the therapeutic relationship. We examine patterns and expectations of practitioners and patients, institutional policies and pressures, the business strategies of pharmaceutical companies and distributors, and cultural drivers of variation. Solutions to improve antibiotic stewardship include practitioners taking greater responsibility for their antibiotic prescribing, increasing the role of caregivers as diagnosticians rather than medicine providers, improving their communication to patients about antibiotic treatment consequences, lessening the economic influences on prescribing, and identifying antibiotic alternatives.
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 | 0.000 |
| 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 it