Medical specialty choice and well-being at work: Physician's personality as a moderator
Bibliographic record
Abstract
We examined whether physicians' personality traits moderate the association between medical specialty and well-being at work. Nationally representative sample of Finnish physicians (n = 2,815; 65% women; aged 25–72 years in 2015) was used. Personality was assessed with the shortened Big Five Inventory. Indicators of well-being at work were measured with scales from Work Ability Index, General Health Questionnaire, Jenkins' Sleep Problems Scale and Suicidal Ideation. Higher extraversion, openness to experience and agreeableness showed as personality traits beneficial for higher well-being at work among person-oriented specialties whereas higher conscientiousness but lower openness and agreeableness showed as personality traits beneficial for higher well-being at work among technique-oriented specialties. The role of neuroticism remains minor in general. Physicians' personality traits may moderate the association between medical specialty and well-being at work.
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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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".