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Record W3110507688 · doi:10.1163/15723747-2020024

The Stellenbosch Consensus on the International Legal Obligation to Collaborate and Assist in Addressing Pandemics

2020· article· en· W3110507688 on OpenAlexafffund
Margherita Cinà, Steven J. Hoffman, Gian Luca Burci, Thana Cristina de Campos, Danwood Mzikenge Chirwa, Stéphanie Dagron, Mark Eccleston-Turner, Lisa Forman, Lawrence O. Gostin, Roojin Habibi, Benjamin Mason Meier, Stefania Negri, Gorik Ooms, Sharifah Sekalala, Allyn L. Taylor, Alicia Ely Yamin

Bibliographic record

VenueInternational Organizations Law Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsPublic Health OntarioUniversity of TorontoYork University
FundersCanadian Institutes of Health ResearchNorges Forskningsråd
KeywordsInternational Health RegulationsObligationInternational lawPolitical scienceConventionSolidarityVienna Convention on the Law of TreatiesScope (computer science)Global healthPublic international lawPandemicLawPublic healthPublic relationsLaw and economicsSociologyCoronavirus disease 2019 (COVID-19)PoliticsHealth careMedicine

Abstract

fetched live from OpenAlex

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 .

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.068
GPT teacher head0.344
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2020
Admission routes2
Has abstractyes

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