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Record W1987945519 · doi:10.1353/bhm.2007.0071

Teamwork, Clinical Research, and the Development of Scientific Medicines in Interwar Britain: The "Glasgow School" Revisited

2007· article· en· W1987945519 on OpenAlexfundno aff
Andrew Hull

Bibliographic record

VenueBulletin of the history of medicine · 2007
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
FundersHospital for Sick ChildrenUniversity of GlasgowUniversity College LondonWellcome Trust
KeywordsTeamworkGeneral partnershipSociologyUnit (ring theory)MedicineMedical educationSocial sciencePolitical sciencePsychologyLaw

Abstract

fetched live from OpenAlex

This article argues that historians of medicine have, until very recently, misinterpreted the relationship of "science" and "the clinic" in the early twentieth century. It follows recent historiographic developments in focusing on the relationship in practice as exemplified by the development of a specific variety of collaborative clinical research using laboratory methods, ca. 1919-37, in a major British medical school. It suggests that it is such working hybrids that should be studied in order to understand fully the development of scientific medicines in the United Kingdom in this period. In Glasgow, it was the local medical culture's characteristic local subservience to clinical priorities that facilitated, in a particular kind of academic unit, a certain type of hierarchical teamwork between clinicians and laboratory workers; the paper reveals how and why this teamwork became, over time, more of an equal partnership.

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)0.011
metaresearch head score (Gemma)0.011
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.281

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0200.107
Scholarly communication0.0140.007
Open science0.0010.014
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.118
GPT teacher head0.415
Teacher spread0.297 · 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 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

Citations15
Published2007
Admission routes1
Has abstractyes

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