International Federation for Emergency Medicine Model Curriculum for Emergency Medicine Specialists
Bibliographic record
Abstract
To meet a critical and growing need for emergency physicians and emergency medicine resources worldwide, physicians must be trained to deliver time-sensitive interventions and lifesaving emergency care. Currently, there is no globally recognized, standard curriculum that defines the basic minimum standards for specialist trainees in emergency medicine. To address this deficit, the International Federation for Emergency Medicine convened a committee of international physicians, health professionals and other experts in emergency medicine and international emergency medicine development to outline a curriculum for training of specialists in emergency medicine. This curriculum document represents the consensus of recommendations by this committee. The curriculum is designed to provide a framework for educational programmes in emergency medicine. The focus is on the basic minimum emergency medicine educational content that any emergency medicine physician specialist should be prepared to deliver on completion of a training programme. It is designed not to be prescriptive but to assist educators and emergency medicine leadership to advance physician education in basic emergency medicine no matter the training venue. The content of this curriculum is relevant not just for communities with mature emergency medicine systems, but in particular for developing nations or for nations seeking to expand emergency medicine within the current educational structure. We anticipate that there will be wide variability in how this curriculum is implemented and taught. This variability will reflect the existing educational milieu, the resources available, and the goals of the institutions' educational leadership with regard to the training of emergency medicine specialists.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.010 |
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".