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Record W3123660677

Combating Resistance: The Case for a Global Antibiotics Treaty

2010· article· en· W3123660677 on OpenAlexaboutno aff
Jonathan Anomaly

Bibliographic record

VenuePhilPapers (PhilPapers Foundation) · 2010
Typearticle
Languageen
FieldMedicine
TopicScience, Research, and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyMontreal ProtocolAutonomyResistance (ecology)Kyoto ProtocolCollective actionPolitical scienceLaw and economicsAction (physics)State (computer science)LawEconomicsOzone layerClimate changeComputer scienceEcologyGeographyBiology
DOInot available

Abstract

fetched live from OpenAlex

The use of antibiotics by one person can profoundly affect the welfare of other people. I will argue that efforts to combat antimicrobial resistance generate a global collective action problem that only a well-designed international treaty can overcome. I begin by describing the problem of resistance and outlining some market-friendly policy tools that participants in a global treaty could use to control the problem. I then defend the claim that these policies can achieve their aim while protecting individual liberty and state autonomy. Finally, I offer some suggestions for a treaty, drawing lessons from the failure of the Kyoto Protocol on climate change and the success of the Montreal Protocol on ozone depletion. © 2010 The Author.

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: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.879

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 studies0.0010.001
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 head0.029
GPT teacher head0.350
Teacher spread0.321 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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