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Record W2906421017 · doi:10.29173/cons29360

An American-Made Miracle: The Politicization of Penicillin During World War II

2018· article· en· W2906421017 on OpenAlexvenueno aff
Jordan A. Herst

Bibliographic record

VenueConstellations · 2018
Typearticle
Languageen
FieldMedicine
TopicHistorical Medical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMiracleBattleBattlefieldContext (archaeology)PenicillinGovernment (linguistics)World War IIFront (military)Political scienceLawHistoryEngineeringAncient historyAntibioticsPhilosophyMicrobiology

Abstract

fetched live from OpenAlex

The discovery of penicillin by Alexander Fleming in 1928 revolutionized the way infections were treated. In the context of World War II, the government of the United States politicized the production and use of penicillin as yet another weapon to win the war. It was carefully rationed on the home front, while being used with reckless abandon in the treatment battle wounds and venereal diseases on the battlefield. Penicillin was described as a miracle drug that would be able to cure everyone, when in reality it was only being used to benefit the military and the American war effort, at the expense of civilian lives.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.020
Scholarly communication0.0060.004
Open science0.0000.002
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.347
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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