The Impact on Peer Mentorship After Implementation of a Competency-Based Residency Curriculum in Canadian Radiation Oncology Training Programs
Bibliographic record
Abstract
Purpose: Peer mentorship provides professional and personal support between physicians with similar experiences and levels of training. While peer mentorship has shown to benefit academic success and professional growth, little data has examined contextual factors, such as curricular change, that may affect the quality of these relationships. This study aims to explore the impact of a new, nationwide radiation oncology (RO) residency curriculum, known as competence by design (CBD), on peer mentorship experiences between Canadian RO residents. Methods and Materials: A qualitative study, with a social constructivist approach, was conducted with 2 groups of Canadian RO residents. The first were those in the academic year before CBD implementation (non-CBD cohort), and the second were those in the inaugural year of CBD (CBD cohort). Semistructured 1-on-1 interviews were conducted to explore experiences of peer mentorship as it related to curriculum change. Interviews were transcribed and analyzed with deductive and inductive methods until data saturation. Results: Between April and December 2021, 14 participants (6 non-CBD and 8 CBD residents) from 8 out of 10 eligible English-speaking RO training programs across Canada participated. Three major themes were identified: (1) the CBD cohort identified fewer opportunities for peer mentorship, with specific concerns regarding new evaluation processes and uncertainty about the later stages of training; (2) there was minimal impact on specialty-specific learning; and (3) peer mentorship thrived when occurring as spontaneous in-person interactions. Conclusions: Inaugural residents of a CBD curriculum perceived fewer opportunities for peer mentorship. There were specific concerns about new evaluative processes, though this did not affect specialty-specific learning. Peer mentorship was most impactful as informal and in-person interactions. Our findings suggest that unintended consequences of curriculum change may be mitigated by improving communication about new training objectives and increasing opportunities for informal interactions between residents.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".