Occupational Medicine Residency Graduate Survey: Assessment of Training Programs and Core Competencies
Bibliographic record
Abstract
OBJECTIVE: This study provides insight into Occupational Medicine (OM) residency graduates and how residency programs are meeting their education goals. METHODS: A survey of graduates from nine OM residency program was performed to evaluate the effectiveness of OM residency training in the United States and Canada. RESULTS: Eighty percent of the OM residency graduates were currently practicing OM. Three-quarters worked in clinical practice for a mean of 20 hr/wk. Other activities varied and included management, teaching and consulting. Ninety-five percent were satisfied with their OM residency training. The competencies acquired were mostly ranked highly as practice requisites, although preparation in clinical OM might be better emphasized in training. Recent OM residency graduates were more likely to be board-certified in OM than other American College of Occupational and Environmental Medicine physician members (73% vs 41%). CONCLUSIONS: OM residency graduates over the past 10 years were highly satisfied with OM residency training, with the training generally meeting practice needs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".