Being Well: Stories of Coping and Resilience
Bibliographic record
Abstract
Introduction: The approach to physician well-being has transformed from a focus on identification of distress to embracing a comprehensive model that values vulnerability, growth, self-compassion, and a sense of purpose and community in the profession. This manuscript, a collaborative effort by the Council of Residency Directors in Emergency Medicine Well-being Committee and the Society for Academic Emergency Medicine Wellness Committee, presents the personal narratives of academic emergency physicians during which they faced challenges and stressors, as well as supportive resources they found helpful. The scenarios are written by the individuals themselves as they experienced them. Discussion: Through these shared and relatable experiences we underscore the dual responsibility of institutions and individuals in fostering physician well-being, advocating for a supportive and interconnected community among academic physicians, and emphasizing that none of us is alone as we navigate personal and professional challenges. While many resources exist, the most vital resource we have is each other.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".