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Record W1888473541 · doi:10.1111/jlme.12277

Some Global Policies for Antibiotic Resistance Depend on Legally Binding and Enforceable Commitments

2015· article· en· W1888473541 on OpenAlexaff
Asha Behdinan, Steven J. Hoffman, Mark Pearcey

Bibliographic record

VenueThe Journal of Law Medicine & Ethics · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsCarleton UniversityCanadian Institutes of Health Research
Fundersnot available
KeywordsIncentiveBusinessInclusion (mineral)Antibiotic resistanceInternational communityResistance (ecology)AntibioticsPublic administrationPolitical scienceEconomicsLawPoliticsMarket economy

Abstract

fetched live from OpenAlex

To address the challenge of antibiotic resistance (ABR), the international community must ensure access, conservation and innovation of antibiotics. These goals can be significantly advanced through ten global policies that have been recommended to form part of an international legal agreement. Policies that could be central to this agreement include the establishment of standards, responsible antibiotic use regulations, and strengthening global surveillance systems. Funding for access, mobilizing resources for infrastructure, strengthening infection control practices, and regulating antibiotic marketing could also be helpful if included in a legal agreement. Incentives for innovation could also be included to mobilize support for its implementation. The inclusion of these policies in an international legal agreement could effectively support global collective action towards several ABR policy goals, some of which may depend on it for their achievement.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.106
GPT teacher head0.366
Teacher spread0.259 · 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 designTheoretical or conceptual
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

Citations26
Published2015
Admission routes1
Has abstractyes

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