Dual Autonomies, Divergent Approaches: How Stratification in Medical Education Shapes Approaches to Patient Care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The United States relies on international and osteopathic medical graduates ("non-USMDs") to fill one third of residency positions because of a shortage of American MD graduates ("USMDs"). Non-USMDs are often informally excluded from top residency positions, while USMDs tend to fill the most prestigious residencies. Little is known, however, about whether the training in these different settings is comparable or how it impacts patients. Drawing on 23 months of ethnographic fieldwork and 123 interviews, I compare training at two internal medicine programs: a community hospital staffing 90% non-USMDs and a university hospital staffing 99% USMDs. The community program's structure lent itself to a hands-off approach resulting in "inconsistent autonomy." In contrast, the university hospital supervised its residents much more regularly, resulting in "supported autonomy." I conclude that medicine may be stratified in unexpected ways between USMDs and non-USMDs and that stratification may matter for patients.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it