Pulling our lens backwards to move forward: an integrated approach to physician distress
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The medical community has recently acknowledged physician stress as a leading issue for individual wellness and healthcare system functioning. Unprecedented levels of stress contribute to physician burnout, leaves of absence and early retirement. Although recommendations have been made, we continue to struggle with addressing stress. One challenge is a lack of a shared definition for what we mean by 'stress', which is a complex and idiosyncratic phenomenon that may be examined from a myriad of angles. As such, research on stress has traditionally taken a reductionist approach, parsing out one aspect to investigate, such as stress physiology. In the medical domain, we have traditionally underappreciated other dimensions of stress, including emotion and the role of the environmental and sociocultural context in which providers are embedded. Taking a complementary, holistic approach to stress and focusing on the composite, subjective individual experience may provide a deeper understanding of the phenomenon and help to illuminate paths towards wellness. In this review article, we first examine contributions from unidimensional approaches to stress, and then outline a complementary, integrated approach. We describe how complex phenomena have been tackled in other domains and discuss how holistic theory and the humanities may help in studying and addressing physician stress, with the ultimate goal of improving physician well-being and consequently patient care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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