Tailoring a specific medical leadership development program for faculty members: the Lyon-Ottawa experience
Bibliographic record
Abstract
The development of leadership skills has been the topic of several position statements over recent decades, and the need of medical leaders for a specific training was emphasized during the COVID-19 crisis, to enable them to adequately collaborate with governments, populations, civic society, organizations, and universities. However, differences persist as to the way such skills are taught, at which step of training, and to whom. From these observations and building on previous experience at the University of Ottawa, a team of medical professors from Lyon (France), Ottawa, and Montreal (Canada) universities decided to develop a specific medical leadership training program dedicated to faculty members taking on leadership responsibilities. This pilot training program was based on a holistic vision of a transformation model for leadership development, the underlying principle of which is that leaders are trained by leaders. All contributors were eminent French and Canadian stakeholders. The model was adapted to French faculty members, following an inner and outer analysis of their specific needs, both contextual and related to their time constraints. This pilot program, which included 10 faculty members from Lyon, was selected to favor interactivity and confidence in older to favor long-term collaborations between them and contribute to institutional changes from the inner; it combined several educational methods mixing interactive plenary sessions and simulation exercises during onescholar year. All the participants completed the program and expressed global satisfaction with it, validating its acceptability by the target. Future work will aim to develop the program, integrate evaluation criteria, and transform it into a graduating training.
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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 | 0.002 | 0.010 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".