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Record W1980646184 · doi:10.1093/jhmas/jrh066

The Founding of the Edinburgh Medical School

2004· article· en· W1980646184 on OpenAlexaff
Roger L. Emerson

Bibliographic record

VenueJournal of the History of Medicine and Allied Sciences · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsWestern University
Fundersnot available
KeywordsKnightGeorge (robot)PoliticsMedical schoolRelation (database)LawHistoryClassicsMedical journalHistory of medicineMedicineSociologyPolitical scienceFamily medicineArt historyMedical education

Abstract

fetched live from OpenAlex

This article seeks to show that the usual accounts of the founding of the Edinburgh Medical Faculty in 1726 give undue prominence to John Monro, an Edinburgh surgeon, and to George Drummond, later Lord Provost of Edinburgh. They do so because their authors have ignored the ways in which patronage appointments, such as medical professorships, were and had been dispensed in the city of Edinburgh and in its university. There the Town Council was only nominally independent when it came to making professors. Medical historians have been equally cavalier in their treatment of the roles of leading politicians, especially of Archibald Campbell, first Earl of Ilay and later third Duke of Argyll, who was the most important Scottish politician working between c. 1716 and his death inl 1761. A more realistic view of the history of Scottish medicine would not ignore the realities of politics and the relation of these to institutions, such as the Edinburgh Medical Faculty.

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)0.013
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0060.009
Scholarly communication0.0100.005
Open science0.0010.010
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0690.015

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 head0.086
GPT teacher head0.272
Teacher spread0.186 · 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

Citations41
Published2004
Admission routes1
Has abstractyes

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