Collaborating internationally on physician leadership education: first steps
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
Purpose Physicians are often ill-equipped for the leadership activities their work demands. In part, this is due to a gap in traditional medical education. An emergent international network is developing a globally relevant leadership curriculum for postgraduate medical education. The purpose of this article is to share key learnings from this process to date. Design/methodology/approach The Toronto International Summit on Leadership Education for Physicians (TISLEP) was hosted by the Royal College of Physicians and Surgeons of Canada, and the University of Toronto's Faculty of Medicine and Institute of Health Policy, Management and Evaluation. Of 64 attendees from eight countries, 34 joined working groups to develop leadership competencies. The CanMEDS Competency Framework, stage of learner development and venue of learning formed the scaffold for the work. Emotional intelligence was selected as the topic to test the feasibility of fruitful international collaboration; results were presented at TISLEP 2015. Findings Dedicated international stakeholders engaged actively and constructively through defined working groups to develop a globally relevant, competency-based curriculum for physician leadership education. Eleven principles are recommended for consideration in physician leadership curriculum development. Defining common language and taxonomy is essential for a harmonized product. The importance of establishing an international network to support implementation, evaluation, sustainability and dissemination of the work was underscored. Originality/value International stakeholders are collaborating successfully on a graduated, competency-based leadership curriculum for postgraduate medical learners. The final product will be available for adaptation to local needs. An international physician leadership education network is being developed to support and expand the work underway.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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