The Stellenbosch Consensus on Legal National Responses to Public Health Risks
Bibliographic record
Abstract
Abstract The International Health Regulations (ihr), of which the World Health Organization is custodian, govern how countries collectively promote global health security, including prevention, detection, and response to global health emergencies such as the ongoing covid-19 pandemic. Countries are permitted to exercise their sovereignty in taking additional health measures to respond to such emergencies if these measures adhere to Article 43 of this legally binding instrument. Overbroad measures taken during recent public health emergencies of international concern, however, reveal that the provision remains inadequately understood. A shared understanding of the measures legally permitted by Article 43 is a necessary step in ensuring the fulfillment of obligations, and fostering global solidarity and resilience in the face of future pandemics. In this consensus statement, public international law scholars specializing in global health consider the legal meaning of Article 43 using the interpretive framework of the Vienna Convention on the Law of Treaties.
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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 | 0.058 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.032 |
| Scholarly communication | 0.027 | 0.015 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.035 | 0.032 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".