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Record W2173162032 · doi:10.1097/acm.0000000000000862

The Merits and Challenges of Three-Year Medical School Curricula

2015· article· en· W2173162032 on OpenAlexaboutno aff
John R. Raymond, Joseph E. Kerschner, William J. Hueston, Cheryl A. Maurana

Bibliographic record

VenueAcademic Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumEconomic shortageMedical educationMedical schoolPerspective (graphical)Student debtDebtMedicinePsychologyPedagogyBusinessComputer science

Abstract

fetched live from OpenAlex

The debate about three-year medical school curricula has resurfaced recently, driven by rising education debt burden and a predicted physician shortage. In this Perspective, the authors call for an evidence-based discussion of the merits and challenges of three-year curricula. They examine published evidence that suggests that three-year curricula are viable, including studies on three-year curricula in (1) U.S. medical schools in the 1970s and 1980s, (2) two Canadian medical schools with more than four decades of experience with such curricula, and (3) accelerated family medicine and internal medicine programs. They also briefly describe the new three-year programs that are being implemented at eight U.S. medical schools, including their own. Finally, they offer suggestions regarding how to enhance the discussion between the proponents of and those with concerns about three-year curricula.

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)0.003
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.078
GPT teacher head0.378
Teacher spread0.300 · 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
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

Citations51
Published2015
Admission routes1
Has abstractyes

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