Anatomy education in a new distributed MD program ‐ prospects and challenges (LB28)
Bibliographic record
Abstract
MD undergraduate teaching at the University of British Columbia (UBC), Canada occurs in a distributed setting, with 288 students spread across four locations in the province per year of instruction. Hence, UBC has the largest medical school in Canada. Although experienced anatomy faculty exist on each UBC campus, large class teaching must be performed using videoconferencing technology supplemented by small group interaction in the cadaver labs. The Southern Medical Program at UBC Okanagan received the first set of MD undergraduates at the Kelowna campus in January 2012 and is the newest of UBC’s distributed sites. Teaching anatomy in such a pioneer setting offers unique perspectives on anatomy education as is currently practiced provincially and nationally, along with salient lessons on the prospects and challenges of distance learning in an MD program. This paper reflects on the impacts of location, pedagogic methods and curriculum on the teaching of anatomy in this unique locus and examines wider implications for the anatomy education of future doctors in Canada.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".