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Record W2148573273 · doi:10.1136/ewjm.174.1.30

The well-being of physician relationships

2001· article· en· W2148573273 on OpenAlexaff
Michael F. Myers

Bibliographic record

VenueWestern Journal of Medicine · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

When I began lecturing on marriage to medical students and physicians about 25 years ago, I used a cartoon to introduce my lectures. The cartoon showed 2 physicians having lunch together in the hospital. The caption says: “Show me a doctor whose wife is happy, and I'll show you a man who's neglecting his practice.” Table 1 Expectations that people bring to a relationship Hopes Needs (conscious and unconscious) Social values Family expectations Economics Religion Ethnicity Fit of the 2 individuals View it in a separate window Fast-forward now to the 21th century and consider the changed demographics: 50% of physicians are women, lots of spouses are men, many physicians do not have wives or husbands but “partners” (who may be the opposite or same sex), and few physicians have or make the time to eat together in the hospital cafeteria. But, with some gender-neutral modernizing, isn't the caption still apt? Aren't physicians still torn between their calling—the needs of their patients—and the needs of their families? Don't some physicians still think that their patients come first and that their spouses or partners must simply understand? In this article, I attempt to answer 4 questions: What do we know about healthy, intimate relationships? What are some of the unique challenges to a relationship posed by a career in medicine? What is the effect of a healthy relationship on physician well-being? What are some strategies to create and maintain relationship intimacy?

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.

How this classification was reachedexpand

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.308
Teacher spread0.266 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations44
Published2001
Admission routes1
Has abstractyes

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