Engaging medical students in cardiac surgery: a focus on equity, diversity, and inclusion
Bibliographic record
Abstract
PURPOSE OF REVIEW: The Coronavirus Disease 2019 pandemic prohibited Canadian medical students from in-person observerships. This may be particularly detrimental to under-represented groups that may consider surgical subspecialties. To address the unprecedented need for alternative surgical career exploration and diversity within the profession, The University of Toronto Cardiac Surgery Interest Group and Division of Cardiac Surgery collaborated on virtual experiential programming. RECENT FINDINGS: Medical students were invited to virtual (1) observerships of a cardiac bypass case, (2) mentorship sessions with surgeons, (3) resident teaching sessions, (4) multidisciplinary case-based Heart Team discussions to further their understanding of the scope of Cardiac surgery, and (5) a virtual coronary anastomosis training program. Additionally, a comprehensive virtual program was spearheaded to increase interest in Cardiac surgery among low-income Black high school students. SUMMARY: Trainee response to the virtual education, mentorship, and skill acquisition was positive. Trainees reported high levels of interest in the profession, particularly among females and under-represented minorities, supporting the principles of equity diversity, and inclusion in Cardiac surgery.
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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 | 0.017 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.047 |
| Research integrity | 0.001 | 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".