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Record W1504629720 · doi:10.1111/jlme.12272

Antibiotic Resistance is a Tragedy of the Commons That Necessitates Global Cooperation

2015· article· en· W1504629720 on OpenAlexaff
Aidan Hollis, Peter Maybarduk

Bibliographic record

VenueThe Journal of Law Medicine & Ethics · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsTragedy of the commonsAntibiotic resistanceTragedy (event)Resistance (ecology)CommonsAntibioticsEnvironmental ethicsPolitical scienceLaw and economicsMicrobiologyPhilosophyLawSociologyBiologySocial scienceEcology

Abstract

fetched live from OpenAlex

Antibiotic resistance presents a classic example of the “tragedy of the commons.” In this eponymous tragedy, the commons — shared, public access lands — are overgrazed because farmers can send their livestock onto the land at a zero price. The “tragedy” occurs because overgrazing destroys the land and reduces its ability to provide fodder. The application to antibiotics is obvious: the use of antibiotics creates selection pressure leading to increased proportions of resistant bacteria in the patient and the environment. The increase in frequency of resistant organisms diminishes the effectiveness of antibiotics in treating future infections; thus, the long-term value of the antimicrobial resource is reduced.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.622

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.098
GPT teacher head0.341
Teacher spread0.243 · 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

Citations57
Published2015
Admission routes1
Has abstractyes

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