Adapting the Key Features Examination for a clinical clerkship
Bibliographic record
Abstract
PURPOSE: A written test of clinical decision-making, the Key Features Examination, was developed for use in clerkship. METHODS: Following the guidelines provided by the Medical Council of Canada, a Key Features Examination was developed and implemented in an internal medicine clinical clerkship, during the 1998/99 clerkship year. The reliability and concurrent validity of the exam were assessed. RESULTS: A 2 hour examination, containing 15 key feature problems, was administered to 101 students during 6 consecutive internal medicine clerkship rotations. The reliability of the exam, calculated from Cronbach's alpha, was 0.49. The exam had modest correlation with other measures of knowledge and clinical performance. CONCLUSION: The Key Feature Examination is a feasible and reliable evaluation tool that may be implemented as a component of student assessment during a clinical clerkship.
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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 | 0.003 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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; a candidate call from one teacher head, 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".