Scholarship by the Clinician‐Educator in Emergency Medicine
Bibliographic record
Abstract
Emergency medicine (EM) continues to grow as an academic specialty. Like most specialties, a large number of academic emergency physicians are focused on education of our graduate student learners. For promotion, clinician-educators (CEs) are required to produce scholarly work and disseminate knowledge. Although promotion requirements may vary by institution, scholarly work is a consistent requirement. Due to the clinical constraints of working in the emergency department, the unique interactions emergency physicians have with their learners, and early adoption of alternative teaching methods, EM CEs' scholarly work may not be adequately described in a traditional curriculum vitae. Using a rubric of established domains around the academic work of CEs, this article describes some of the ways EM educators address these domains. The aim of the article is to provide a guide for academic department leadership, CEs, and promotion committees about the unique ways EM has addressed the work of the CE.
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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 | 0.016 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.019 | 0.009 |
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".