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Record W3011623641 · doi:10.1016/j.jcjo.2020.01.014

Beyond burnout: looking deeply into physician distress

2020· review· en· W3011623641 on OpenAlex
Agnes Wong

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Ophthalmology · 2020
Typereview
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsBurnoutDistressPersonal distressInterpersonal communicationAltruism (biology)PsychologyInterpersonal relationshipNursingMedicineSocial psychologyPsychotherapistClinical psychology

Abstract

fetched live from OpenAlex

Physician wellness is an important issue and a growing concern within the medical profession. Although "burnout" is a commonly used term to describe physician distress, it fails to capture the many aspects of medicine that negatively impact physician wellness and what physicians experience. In this article, I will explore the personal (unhealthy perfectionism, pathologic altruism, self-recrimination, and the pitfalls of success), interpersonal (empathic distress, moral suffering, bullying, and marginalization), and systemic (medical culture, workplace environment and burnout, and health care system) factors that act interdependently and synergistically to give rise to physician distress. This article is a call for an earnest discussion and for implementing changes by addressing and reconsidering the place of physician wellness in medical practice, education, and research on the one hand, and its impact on patients, families, and society on the other.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.920
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.076
GPT teacher head0.439
Teacher spread0.363 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it