Dermatology postgraduate training in Canada: CanMEDS competencies
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
Medical residency education and the development of formalized training objectives in Canada have evolved continuously, especially with the introduction of the Canadian Medical Education Directions for Specialists (CanMEDS) competencies by the Royal College of Physicians and Surgeons of Canada (RCPSC) in 1996. In order to evaluate the effectiveness of implementation of CanMEDS competencies in Canadian postgraduate dermatology training programs from the residents' perspective, a comprehensive national survey of all Canadian core dermatology residents was conducted in June 2004. One hundred percent of core (PGY3-5) dermatology residents across the country (n = 48) completed the survey. Forty eight percent of residents were familiar with the CanMEDS competencies. Within the CanMEDS framework, the competencies were felt to be taught adequately by the following proportion of residents: medical expert (78 %), professional (66 %), communicator (52 %), collaborator (48 %), health advocate (48 %), scholar (48 %), and manager (28 %), with notable differences based on the year of training. This is the first national Canadian survey examining dermatology postgraduate education from the residents' perspective with a focus on CanMEDS competencies. While the RCPSC CanMEDS project implementation is presently in the faculty development phase, further work must be accomplished to enhance awareness of CanMEDS competencies and to incorporate these into dermatology residency programs across the country. Particular targeting of the roles perceived to be poorly taught is needed.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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