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Record W2027723401 · doi:10.1258/j.jmb.2007.s-1-06-03

The Osler Societies: A qualitative and quantitative portrait

2007· article· en· W2027723401 on OpenAlexaff
Clyde Partin, J. Lella

Bibliographic record

VenueJournal of Medical Biography · 2007
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsWestern University
Fundersnot available
KeywordsPortraitIdeologyClubHistory of medicineMedicineHistoryClassicsLawPolitical sciencePoliticsArt history

Abstract

fetched live from OpenAlex

Over 700 presentations have been given at the meetings of the American Osler Society (AOS) since its inception in 1970. Fully half of these have treated various aspects of Osler's personal and professional life. Many have dealt with Osler's specific contributions to an array of medical specialties. Other national/international Osler Societies including the Osler Club of London and the Japan Osler Society have treated similar topics but in different proportions historically. As the societies have matured, the foci of their talks have broadened from Osler and more bio-medical historical topics to include more of the contemporary ethical, ideological and socioeconomic issues facing the medical profession. Osler himself tended to speak more frequently on such topics in his later life. For Oslerians, Osler has had such a profound influence upon the history of medicine that, at least for them, to study Osler is to study the history of medicine. A description of the culture of the AOS meetings is ventured.

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)0.017
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.023
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0100.011
Science and technology studies0.0080.008
Scholarly communication0.0080.007
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.039
GPT teacher head0.421
Teacher spread0.382 · 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 designQualitative
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
Published2007
Admission routes1
Has abstractyes

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