The Stellenbosch Consensus on the International Legal Obligation to Collaborate and Assist in Addressing Pandemics
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 potential global health emergencies such as the ongoing covid-19 pandemic. While Article 44 of this binding legal instrument requires countries to collaborate and assist each other in meeting their respective obligations, recent events demonstrate that the precise nature and scope of these legal obligations are ill-understood. A shared understanding of the level and type of collaboration legally required by the ihr is a necessary step in ensuring these obligations can be acted upon and fully realized, and in 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 44 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 | 0.072 | 0.088 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.040 |
| Scholarly communication | 0.029 | 0.015 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.036 | 0.028 |
| 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".