Strengthening the Monitoring of States’ Compliance with the International Health Regulations
Bibliographic record
Abstract
Abstract The current article aims to undertake a retrospective and a prospective analysis of compliance monitoring under the International Health Regulations of 2005 (ihr (2005)). First, different theoretical understandings of compliance are discussed. The study then focuses on a ‘triad’ of obligations under the ihr (2005): 1) to timely and effectively notify the World Health Organization (who) of events that may constitute public health emergencies of international concern (Article 6 ihr); 2) to notify and justify additional health measures restricting international travel and trade in response to events elsewhere (Article 43 ihr); and, 3) to build minimum core capacities required to conduct pandemic surveillance and response activities (Article 5 ihr). The retrospective analysis revisits the fate of past and current mechanisms of compliance monitoring under the ihr (2005). Lastly, a prospective formulation builds upon the elements of the retrospective analysis, sketching a possible way forward for monitoring of compliance with the ihr (2005).
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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 | 0.102 | 0.135 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".