Facilitating Appreciation of Anatomical Variation and Development of Teamwork Skills in the Gross Anatomy Laboratory Using a Cadaver Reassignment System
Bibliographic record
Abstract
Developing a mental map of the body in three dimensions incorporating normal anatomical variations is a challenge for students of gross anatomy. Acquisition of this ability is facilitated by frequently reassigning students to work on different specimens in gross anatomy laboratories, a significant departure from traditional teaching strategies. This article analyzes student and faculty experiences with a reassignment system over a six-year period, including effects on early professional development and students' attitudes toward the cadavers. Students were strongly supportive of the method, noting that specimen reassignments facilitated learning, encouraged dissection skill building, and fostered collaborative interactions. Students' perception of the value of the contribution of each cadaver to their education was preserved and, for many, enhanced. Frequent specimen reassignments offer an opportunity to model public accountability for work and some aspects of the relationships between multiple health care teams caring for a patient.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".