An analysis of anatomy education before and during Covid‐19: August–December 2020
Why this work is in the frame
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Bibliographic record
Abstract
Coronavirus disease-2019 (Covid-19) disrupted the in-person teaching format of anatomy. To study changes in gross anatomy education that occurred during August-December, 2020 compared to before the pandemic, an online survey was distributed to anatomy educators. The 191 responses received were analyzed in total and by academic program, geographic region, and institution type. Cadaver use decreased overall (before: 74.1 ± 34.1%, during: 50.3 ± 43.0%, P < 0.0001), as well as across allopathic and osteopathic medicine, therapy, undergraduate, and veterinary programs (P < 0.05), but remained unchanged for other programs (P > 0.05). Cadaver use decreased internationally and in the US (P < 0.0001), at public and private (P < 0.0001) institutions, and among allopathic medical programs in Northeastern, Central, and Southern (P < 0.05), but not Western, US geographical regions. Laboratories during Covid-19 were delivered through synchronous (59%), asynchronous (4%), or mixed (37%) formats (P < 0.0001) and utilized digital resources (47%), dissection (32%), and/or prosection (21%) (P < 0.0001). The practical laboratory examination persisted during Covid-19 (P = 0.419); however, the setting and materials shifted to computer-based (P < 0.0001) and image-based (P < 0.0001), respectively. In-person lecture decreased during Covid-19 (before: 88%, during: 24%, P = 0.003). When anatomy digital resources were categorized, dissection media, interactive software, and open-access content increased (P ≤ 0.008), with specific increases in BlueLink, Acland's Videos, and Complete Anatomy (P < 0.05). This study provided evidence of how gross anatomy educators continued to adapt their courses past the early stages of the pandemic.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 it