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Record W2791758039 · doi:10.1177/0967772018764001

Hans Enoch and vivicillin

2018· article· en· W2791758039 on OpenAlexaboutno aff
Gilbert Shama

Bibliographic record

VenueJournal of Medical Biography · 2018
Typearticle
Languageen
FieldMedicine
TopicHistorical Medical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsNazismAlienPublicityLawPopulationWorld War IINazi GermanySpanish Civil WarCharge (physics)AdversarySociologyPolitical scienceDemographyPolitics

Abstract

fetched live from OpenAlex

Hans Emmanuel Enoch (1896-1991) was born in Hamburg, the son of a manufacturer of sera and vaccines. Upon his father's death, he took charge of the Hamburg Serum Werke. Following the rise of Hitler, he came to be pilloried in the Nazi press for allegedly having poisoned the population of Hamburg and was imprisoned for a time. He immigrated to England in 1935 where he had secured a position with the International Serum Company in Norwich. Following the outbreak of war, he was interned as an enemy alien, eventually ending up in Canada. In 1941, he was permitted to return to England, but wartime conditions prevented him from continuing to manufacture sera. At about this time, penicillin was making the headlines, and coupled with accounts of its miraculous properties, was the news that all production was reserved exclusively for the armed forces. Enoch decided to meet the public clamour for penicillin by producing a crude version which he termed 'vivicillin.' News of this spread globally, and he came to incur the disdain of Howard Florey for the attendant publicity. Notwithstanding this, vivicillin was to prove itself effective and its use led to the saving of 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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.004

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 head0.018
GPT teacher head0.354
Teacher spread0.336 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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