A Multimodal Multi‐institutional Solution to Remote Medical Student Education for Otolaryngology During COVID‐19
Bibliographic record
Abstract
During the coronavirus 2019 pandemic, there has been a surge in production of remote learning materials for continued otolaryngology resident education. Medical students traditionally rely on elective and away subinternship experiences for exposure to the specialty. Delays and cancellation of clinical rotations have forced medical students to pursue opportunities outside of the traditional learning paradigm. In this commentary, we discuss the multi-institutional development of a robust syllabus for medical students using a multimodal collection of resources. Medical students collaborated with faculty and residents from 2 major academic centers to identify essential otolaryngology topics. High-quality, publicly available, and open-access content from multiple sources were incorporated into a curriculum that appeals to a variety of learners. Multimodal remote education strategies can be used as a foundation for further innovation aimed at developing tomorrow's otolaryngologists.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".