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Record W2098112747 · doi:10.1080/13548506.2013.765018

Lean on me: an exploratory study of the spousal support received by physicians

2013· article· en· W2098112747 on OpenAlexafffund
Alyssa Jovanovic, Jean E. Wallace

Bibliographic record

VenuePsychology Health & Medicine · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of Calgary
FundersAlberta Heritage Foundation for Medical ResearchAlberta Health Services
KeywordsSpousePsychologyEmotional supportSocial supportClinical psychologyPerceptionCoping (psychology)Exploratory researchSocial psychology

Abstract

fetched live from OpenAlex

This paper uses interview data from physicians and their spouses to describe the types of spousal support physicians receive when coping with work-related stress and to explore whether they vary by occupational similarity, gender, and parental status. The physicians described receiving different types of spousal support: emotional, informational, and instrumental. Male physicians in this study often reported receiving emotional support from their spouse, consistent with the support gap hypothesis in the literature. An unexpected finding is that from the responses of the physicians' spouses, the husbands often reported offering emotional support to their physician spouse. Physicians who shared similar occupational and work experiences with their spouse (i.e. married to another physician) reported receiving informational support from their spouse, consistent with the theory of homophily. Finally, the findings also suggested that once physicians have children, their wives often reported providing instrumental support by being primarily responsible for childcare and housework. An interesting finding of this study is the discrepancy between the physicians and their spouses in their perceptions of support.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.416
Teacher spread0.352 · 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 designQualitative
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

Citations10
Published2013
Admission routes2
Has abstractyes

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