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Record W1977821606 · doi:10.1097/acm.0b013e3181c8f1e7

Commentary: Understanding the Flexner Report

2010· editorial· en· W1977821606 on OpenAlexaboutno aff
Kenneth M. Ludmerer

Bibliographic record

VenueAcademic Medicine · 2010
Typeeditorial
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsExcellenceHonorMythologyPolitical scienceSociologyReform movementLawMedical educationMedicineClassicsHistoryPolitics

Abstract

fetched live from OpenAlex

In this commentary, the author discusses medical education reform before Abraham Flexner's 1910 report, Medical Education in the United States and Canada, the reforms for which Flexner campaigned, and the report's impact on the future of the discipline. To honor Flexner's contributions to medical education, the author then exposes the myths that surround Flexner's ideals and accomplishments 100 years later. The author argues that Flexner's achievement lies in how he transformed medical education reform into a broad social movement, aligning it with John Dewey's popular “progressive education” movement, and in how Flexner succeeded in establishing the university model as the standard for all medical schools. The author also argues that Flexner, at the most fundamental level, stood for academic excellence and public service in medical education. This dedication, the author argues, is Flexner's greatest legacy and a commitment that should continue to shape the future of the discipline.

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)0.014
metaresearch head score (Gemma)0.086
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: Editorial · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.086
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.002
Science and technology studies0.0080.007
Scholarly communication0.0080.008
Open science0.0060.003
Research integrity0.0520.045
Insufficient payload (model declined to judge)0.0070.006

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 head0.046
GPT teacher head0.399
Teacher spread0.354 · 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
GenreEditorial

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

Citations111
Published2010
Admission routes1
Has abstractyes

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