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Record W4378072179 · doi:10.1111/1758-5899.13217

International negotiations for a pandemic treaty: A thematic evaluation of 43 member states

2023· article· en· W4378072179 on OpenAlexaff
Jay Patel

Bibliographic record

VenueGlobal Policy · 2023
Typearticle
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsTreatyNegotiationPandemicPolitical sciencePreparednessArms controlLawLaw and economicsSociologyCoronavirus disease 2019 (COVID-19)Medicine

Abstract

fetched live from OpenAlex

Abstract Negotiating a successful pandemic treaty should address a four‐fold purpose: to prevent, prepare for, respond to and recover from pandemics effectively (Phelan and Carlson, 2022, Science , 377, 475). Since the proposal for an international treaty on pandemic prevention and preparedness was endorsed by 26 heads of state and the WHO Director‐General in March 2021, WHO member states assigned an Intergovernmental Negotiating Body (INB) with the responsibility of coordinating negotiations in anticipation of adopting an agreement by May 2024. To date, four INB meetings have been held. In this analysis, the interventions of 43 member states at the INB sessions in July 2022 were evaluated against components considered integral to an effective pandemic treaty. These were mapped against elements previously identified for a transformative treaty (Phelan and Carlson, 2022). This analysis outlines gaps in the current pandemic treaty working draft and the INB negotiations, which may identify opportunities to enhance the value of the remaining negotiations and guide refinement in developing further iterations of the working draft.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.115
GPT teacher head0.468
Teacher spread0.353 · 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 designOther design
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

Citations4
Published2023
Admission routes1
Has abstractyes

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