The Use of Standardized Patient Assessments for Certification and Licensure Decisions
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
Although standardized patients have been employed for formative assessment for over 40 years, their use in high-stakes medical licensure examinations has been a relatively recent phenomenon. As part of the medical licensure process in the United States and Canada, the clinical skills of medical students, medical school graduates, and residents are evaluated in a simulated clinical environment. All of the evaluations attempt to provide the public with some assurance that the person who achieves a passing score has the knowledge and/or requisite skills to provide safe and effective medical services. Although the various standardized patient-based licensure examinations differ somewhat in terms of purpose, content, and scope, they share many commonalities. More important, given the extensive research that was conducted to support these testing initiatives, combined with their success in promoting educational activities and in identifying individuals with clinical skills deficiencies, they provide a framework for validating new simulation modalities and extending simulation-based assessment into other areas.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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