Commentary: A Century of Progress in Medical Education: What About the Next 10 Years?
Bibliographic record
Abstract
Abraham Flexner's seminal 1910 report, Medical Education in the United States and Canada, is widely credited with instigating important changes in U.S. medical education that have shaped today's system of training physicians. Although Flexner's report publicly articulated recommendations for widespread change, the stage had been set for reform for quite some time. In this commentary, the author examines the landscape of change in medical education at the turn of the 20th century, highlighting the roles of several important contributors, especially the American Medical Association's Committee on Medical Education. Now, 100 years later, academic medicine is poised for further reforms to enable medical schools and teaching hospitals to meet the needs of 21st-century patients and physicians. The author outlines the challenges that must be addressed today and argues that the immediate future—specifically, the next 10 years—must see reforms on the scale of those enacted a century ago in order to achieve a sustainable 21st-century model of medical education.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".