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Record W4296259944 · doi:10.55729/2000-9666.1095

John R. Brinkley: A Quintessential American Quack

2022· article· en· W4296259944 on OpenAlexaboutno aff
Philip Coleridge Smith

Bibliographic record

VenueJournal of Community Hospital Internal Medicine Perspectives · 2022
Typearticle
Languageen
FieldMedicine
TopicXenotransplantation and immune response
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteNational Institutes of Health
KeywordsGovernment (linguistics)MedicineQuarter (Canadian coin)LawGerontologyHistoryPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

The early 20th century was a time of rapid technological innovation and of demanding greater responsiveness of government and society to the needs of the common man. These impulses carried into the field of medicine, where quacks promised to overturn the medical establishment to bring wondrous new cures directly to the people. John Brinkley, among the foremost practitioners of that dark art, made a fortune implanting goat testicles into gullible men to cure sexual dysfunction and other ravages of old age. His medical training was limited, his treatments implausible, and yet, during a career that spanned over a quarter century, he became one of the best-known doctors of his era, through his use of technology, salesmanship, and politicking. Brinkley's success illustrates how eager the public can be for panaceas, regardless of their actual merit, and the difficulty of interdicting the activities of quacks who have captured the public's imagination.

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)0.002
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.008
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0200.005

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 head0.017
GPT teacher head0.330
Teacher spread0.313 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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