What Will it Take to Address the Global Threat of Antibiotic Resistance?
Bibliographic record
Abstract
Of the many global health challenges facing the world today, only a small number require global collective action. Most health challenges can be fully addressed through action at local, regional or national levels. What kind of actions must be taken to address the global threat of antibiotic resistance (ABR)? What legal, political and economic tools might be needed to achieve this level of action? In March 2015 the Dag Hammarskjöld Foundation convened a workshop in Uppsala, Sweden to address these questions in partnership with the Global Strategy Lab, the Journal of Law, Medicine & Ethics (JLME), the Norwegian Institute of Public Health, and ReAct — Action on Antibiotic Resistance. Eleven concise articles were commissioned to explore whether ABR depended on global collective action, and if so, what tools could help states and non-state actors to achieve it.
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 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 | 0.038 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.017 | 0.025 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.026 | 0.016 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".