Medical competence: The interplay between individual ability and the health care environment
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
Competency-based education in the health care professions has become a prominent approach to postgraduate training in Canada, the Netherlands, the United Kingdom, the United States, and many other countries. Competency frameworks devised at national and international levels have been well received, and in many cases mandated, by governing bodies. However, the teaching and assessment of competencies pose questions of practicality, validity, and reliability. In this article we propose that competence and competencies be approached in the context of the particular clinical environment, such that the assessment of competence is tied to a trainee's performance of essential clinical activities that define the profession. Competence is implicit in the eventual entrustment of trainees to perform these professional activities. Competencies and "entrustable professional activities" (EPAs) relate to each other as two dimensions of a grid in which each EPA can be mapped back to a number of competencies. This backward visioning from EPAs to competencies is proposed as a guide to curriculum planning and assessment. The authors discuss experiences with this conceptual model in research, curriculum development and learner assessment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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