Evaluating a novel resident role‐modelling programme
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
BACKGROUND: Role modelling is a fundamental method by which students learn from residents. To our knowledge, however, resident-as-teacher curricula have not explicitly addressed resident role modelling. The purpose of this project was to design, implement and evaluate an innovative programme to teach residents about role modelling. METHODS: The authors designed a resident role-modelling programme and incorporated it into the 2015 and 2016 McGill University resident-as-teacher curriculum. Influenced by experiential and social learning theories, the programme incorporated flipped-classroom and simulation approaches to teach residents to be aware and deliberate role models. Outcomes were assessed through a pre- and immediate post-programme questionnaire evaluating reaction and learning, a delayed post-programme questionnaire evaluating learning, and a retrospective pre-post questionnaire (1 month following the programme) evaluating self-reported behaviour changes. RESULTS: Thirty-three of 38 (87%) residents who participated in the programme completed the evaluation, with 25 residents (66%) completing all questionnaires. Participants rated the programme highly on a five-point Likert scale (where 1 = not helpful and 5 = very helpful; mean score, M = 4.57; standard deviation, SD = 0.50), and showed significant improvement in their perceptions of their importance as role models and their knowledge of deliberate role modelling. Residents also reported an increased use of deliberate role-modelling strategies 1 month after completing the programme. Resident-as-teacher curricula have not explicitly addressed resident role modelling DISCUSSION: The incorporation of resident role modelling into our resident-as-teacher curriculum positively influenced the participants' perceptions of their role-modelling abilities. This programme responds to a gap in resident training and has the potential to guide further programme development in this important and often overlooked area.
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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 | 0.064 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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