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Record W2169346772 · doi:10.7861/clinmedicine.3-4-368

Samuel Johnson: his ills, his pills and his physician friends

2003· article· en· W2169346772 on OpenAlexaff
T. Jock Murray

Bibliographic record

VenueClinical Medicine · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicinePillBiographyFolioEnlightenmentAlternative medicineClassicsFamily medicineArt historyNursingHistoryTheology

Abstract

fetched live from OpenAlex

Samuel Johnson (1709-1784) was one of the greatest men of his age. Although famed for his writings, especially his Dictionary and his folio on Shakespeare, he is remembered for his tavern conversations, his literary clubs and the great biography of his life by Boswell. He always enjoyed having physicians as his friends, and took a great interest in all branches of medicine. He would advise and prescribe for friends who regularly consulted him, and he was not unhappy when mistaken for a physician. Particularly in his last years he had need of physicians for his own care, but held his own distinct views on whether to take their medicines and in what dose--usually much higher than prescribed. His many illnesses and his knowledge and views on medicine make him of continuing interest to physicians and give us insight into medical practice and beliefs in the Age of Enlightenment.

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)0.006
metaresearch head score (Gemma)0.019
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 score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.007
Scholarly communication0.0100.007
Open science0.0010.003
Research integrity0.0050.014
Insufficient payload (model declined to judge)0.0240.009

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 head0.110
GPT teacher head0.337
Teacher spread0.227 · 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

Citations4
Published2003
Admission routes1
Has abstractno

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