Evaluation of a National Radiation Oncology Research and Mentorship Program
Bibliographic record
Abstract
PURPOSE: The Canadian Association of Radiation Oncology Annual Scientific Meeting Medical Student Research and Mentorship Award was established in 2020 to support medical students pursuing radiation oncology (RO) research and RO as a career. This study is an evaluation of the effect of this national research and mentorship award on medical students, resident mentors, and research supervisors over 3 iterations. METHODS AND MATERIALS: Three separate surveys were created for medical student mentees, RO resident mentors, and attending research supervisors. These surveys were developed using best practice strategies for medical education surveys and circulated for peer review among experts in oncology medical education. The surveys were sent to the 52 individuals (18 students, 18 residents, 16 supervisors) who participated in 3 cycles of Canadian Association of Radiation Oncology ASM MSRMA (2020-21, 2021-22, 2022-23). After anonymization, quantitative answers were analyzed using descriptive statistics, and narrative responses were evaluated using a grounded theory approach. RESULTS: There was a 90% survey response rate. For medical student mentees, the award maintained (71%) or increased (24%) interest in pursuing an RO career. Students reported receiving helpful tips for residency applications and insight into RO residency, research, and career planning advice. Only the first student cohort currently has matching results for residency, with approximately 50% matching to RO. All resident mentor respondents felt the program either maintained or increased motivation to mentor students in RO. Research project supervisors unanimously enjoyed their role in this program and would recommend and participate in this program again. CONCLUSIONS: A national research and mentorship award for medical students has shown a positive effect on participants. Medical students felt this award program motivated them to continue pursuing oncology research and a potential career in RO. The program also enhanced mentorship skills in residents and research supervisors, which encourages further RO mentorship, teaching, and exposure for future generations of students.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".