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Record W4387018668 · doi:10.30574/wjarr.2023.19.3.1888

Impact of the Flexner's report on health professional education

2023· article· en· W4387018668 on OpenAlexaboutno aff
Asaad Babker

Bibliographic record

VenueWorld Journal of Advanced Research and Reviews · 2023
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumMedical educationFoundation (evidence)Professional developmentHealth careMedicineQuality (philosophy)Health professionalsPolitical sciencePsychologyPedagogy

Abstract

fetched live from OpenAlex

Flexner's report on health professional education, also known as the Flexner Report, was published in 1910. It was a landmark document that revolutionized medical education in the United States and influenced healthcare education globally. The report was written by Abraham Flexner, who was commissioned by the Carnegie Foundation, and its objective was to assess the quality and standards of medical schools in the U.S. and Canada. Flexner visited 155 medical schools and evaluated them based on certain criteria such as faculty qualifications, curriculum, facilities, and research output. The Flexner Report was instrumental in improving the quality of health professional education and establishing the notion that physicians should receive comprehensive scientific education and clinical training. Its legacy continues to this day, as the principles and standards introduced by the report still guide modern medical education.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.109
GPT teacher head0.568
Teacher spread0.459 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2023
Admission routes1
Has abstractyes

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