Anatomy education in Namibia: Balancing facility design and curriculum development
Bibliographic record
Abstract
The anatomy curriculum at Namibia's first, and currently only, medical school is clinically oriented, outcome-based, and includes all of the components of modern anatomical sciences i.e., histology, embryology, neuroanatomy, gross, and clinical anatomy. The design of the facilities and the equipment incorporated into these facilities were directed toward simplification of work flow and ease of use by faculty, staff, and students. From the onset, the integration of state of the art technology was pursued to facilitate teaching and promote a student-centered pedagogical approach to dissections. The program, as realized, is comprised of three 16-week semesters with seven hours of contact time per week, namely three hours of lectures and four hours of dissection laboratory and microscopy time. Set outcomes were established, each revolving around clinical cases with integrated medical imaging. The design of the facility itself was not constrained by a legacy structure, allowing the School of Medicine, in collaboration with architects and contractors, to design the building from scratch. A design was implemented that allows for the sequential processing of cadaveric material in a unidirectional flow from reception, to preparation, embalming, storage, dissection, and maceration. Importantly, the odor of formaldehyde typically associated with anatomy facilities was eliminated outside of the dissection areas and minimized within via a high-performance ventilation system. By holistically incorporating an integrated curriculum, facility design, and teaching at an early stage, the authors believe they have created a system that might serve as a model for new anatomy programs.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".