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Record W2000752240 · doi:10.1097/acm.0b013e3181f16f52

Medical Education in the United States and Canada, 2010

2010· article· en· W2000752240 on OpenAlexaboutno aff
M. Brownell Anderson, Steven L. Kanter

Bibliographic record

VenueAcademic Medicine · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsHistory of the United StatesMEDLINEPolitical scienceHigher educationMedical educationFamily medicineMedicineLaw

Abstract

fetched live from OpenAlex

The authors present an overview of the educational programs, infrastructure to support them, and the assessment strategies of 128 medical schools in the United States and Canada, based on reports submitted by those schools and published in this supplement to Academic Medicine. The authors explore many important changes that have occurred since the publication of the Flexner Report in 1910 as well as the progress that is evident since a similar collection of medical school reports was published in September 2000, also as a supplement to Academic Medicine. Drawing on the reports, the authors summarize, among other topics, the advances that have taken place in the support for faculty, the funding of medical student education, changes in pedagogy and assessment, and the expansion of medical education to distributed models and regional campuses.The authors observe that the reports from the 128 schools illustrate that medical student education has undergone and continues to undergo substantive change, has advanced markedly since the reforms stimulated by the Flexner Report, and has continued to evolve during the past decade. The reports illustrate the strength of support for the educational programs, even in a time of financial constraints, and the increasing recognition of the scholarly contributions of faculty through teaching. The authors provide examples of the changes in pedagogy and new topics in the required curriculum in the past decade and describe selected highlights of the 128 educational programs.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.309
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.450
Teacher spread0.414 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations102
Published2010
Admission routes1
Has abstractyes

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