Measurement and Evaluation in Health Sciences, and
Bibliographic record
Abstract
This article has been peer reviewed. CMAJ 2000;163(6):708-11 Background: The location of postgraduate medical training is shifting from teach-ing hospitals in urban centres to community practice in rural and remote set-tings. We were interested in knowing whether learning, as measured by summa-tive examinations, was comparable between graduates who trained in urban centres and those who trained in remote and rural settings. Methods: Family medicine training programs in Ontario were selected as a model of postgraduate medical training. The results of the 2 summative examinations — the Medical Council of Canada Qualifying Examination (MCCQE) Part II and the College of Family Physicians of Canada (CFPC) certification examina-tion — for graduates of the programs at Ontario’s 5 medical schools were com-pared with the results for graduates of the programs in Sudbury and Thunder Bay from 1994 to 1997. The comparability of these 2 cohorts at entry into
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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 | 0.166 | 0.326 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".