MétaCan
Menu
Back to cohort
Record W1529963181 · doi:10.1111/jlme.12278

Effective Global Action on Antibiotic Resistance Requires Careful Consideration of Convening Forums

2015· article· en· W1529963181 on OpenAlexaff
Zain Rizvi, Steven J. Hoffman

Bibliographic record

VenueThe Journal of Law Medicine & Ethics · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsYork University
Fundersnot available
KeywordsCommitPolitical scienceCollective actionEnforcementPublic relationsLaw and economicsAction (physics)Resistance (ecology)PoliticsInternational ActionPublic administrationBusinessLawSociologyComputer scienceBiology

Abstract

fetched live from OpenAlex

Global collective action is needed to address the growing transnational threat of antibiotic resistance (ABR). Some commentators have recommended an international legal agreement as the most promising mechanism for coordinating such action. While much has been said about what must be done to address ABR, far less work has analyzed how or where such collective action should be facilitated - even though the success of any international agreement depends greatly on where it is negotiated and implemented. This article evaluates four different forums that states may use to develop an international legal agreement for antibiotic resistance: (1) a self-organized venue; (2) the World Health Organization; (3) the World Trade Organization; and (4) the United Nations General Assembly. The need for a multisectoral approach and the diverse institutional landscape suggest that an effective response may best be coordinated through linked action pursued through multiple forums.

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)0.003
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.114
GPT teacher head0.382
Teacher spread0.268 · 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 designBench or experimental
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

Citations5
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Law Medicine & EthicsSame topicAntibiotic Use and ResistanceFrench-language works237,207