Learning surgically oriented anatomy in a student‐run extracurricular club: An education through recreation initiative
Bibliographic record
Abstract
Didactic and laboratory anatomical education have seen significant reductions in the medical school curriculum due, in part, to the current shift from basic science to more clinically based teaching in North American medical schools. In order to increase medical student exposure to anatomy, with clinical applicability, a student-run initiative called surgically oriented anatomy prosectors (SOAP) club was created within the extracurricular program at the Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada. SOAP invites surgeons and residents from various surgical specialties to demonstrate, on a cadaver, a surgical procedure of their choosing. During the demonstration, the anatomy, as it relates to the surgical procedure, is discussed. The students then break into smaller groups to examine the relevant anatomy on the cadavers, during which time the discussion is broadened. The group continues the conversation in a social environment with refreshments. SOAP is one of the most popular extracurricular clubs with 65% of first and second year medical students registered as members. The high demand for SOAP, along with the positive participant feedback, may be due to its utilization of the principle of education through recreation, which seeks to provide opportunities for learning seamlessly throughout all facets of life. It also demonstrates the desire, amongst certain medical students, to learn applied anatomy, particularly within a surgical context.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".