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Record W4285795086 · doi:10.5737/23688076323416

Coping style and typology of perceived social support of male partners of women with breast cancer

2022· article· en· W4285795086 on OpenAlexaffvenue
Terry Cheng, Maureen Jackman, Maurene McQuestion, Margaret I. Fitch

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsSocial supportCoping (psychology)WifeStressorPsychologyTypologyBreast cancerExploratory researchQualitative researchSocial psychologyClinical psychologyMedicineCancerSociology

Abstract

fetched live from OpenAlex

This article reports on one component of an exploratory qualitative study, namely male partners' coping style of self-reliance, and the perceived social support that these partners relied upon to cope with their wife's breast cancer. Data were drawn from a larger study designed to explore male partners' perceived needs and the services they preferred to address these needs following their wife's diagnosis of breast cancer. The 27 male partners participating in this study were significantly affected by their wife's breast cancer. To cope, they relied on a coping style of self-reliance, drawing upon their own internal resources (self reliance) augmented by available informal social support to support themselves, their wife, and their family, and to manage the disease-, individual-, couple- and family-related stressors in their lives. Attention needs to be given to the self-support and social support needs of spouses to address unmet needs and facilitate coping. As the main providers of support for their wives, partners are in the unique position of needing support as well as providing it.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.336
Teacher spread0.312 · 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.

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

Citations2
Published2022
Admission routes2
Has abstractyes

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