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Record W1983558047 · doi:10.1177/019394590002200405

Men’s Perspectives on Individual and Family Coping with their Wives’ Breast Cancer and Chemotherapy

2000· article· en· W1983558047 on OpenAlexaff
B. Ann Hilton, John A. Crawford, Michel Andre Tarko

Bibliographic record

VenueWestern Journal of Nursing Research · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCoping (psychology)Breast cancerWifeQualitative researchPsychological interventionPsychologyPsychotherapistMedicineNursingCancerSociology

Abstract

fetched live from OpenAlex

Little research has examined the impact of cancer and chemotherapy treatment for breast cancer from men's perspectives as partners, fathers, and caregivers. This research, part of a larger study describing women's, partners', and children's perspectives, aims to describe men's perspectives on their experiences and how their wives' breast cancer and chemotherapy impacted them and their families, to describe what facilitated and hindered their coping, and to suggest interventions to assist men and their families to manage the experience with less stress. This participatory action study used qualitative naturalistic inquiry methods. Semistructured interviews were conducted with 11 male partners. Two major themes were identified: focusing on a wife's illness and care, and focusing on the family to keep life going. Nine sub-themes cut across the major themes: being there, relying on health care professionals, being informed and contributing to decision making, trying to keep patterns normal and family life going, helping out and relying on others, being positive, putting self on hold, adapting work life, and managing finances.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.077
GPT teacher head0.411
Teacher spread0.334 · 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 source (direct Gemma or distilled Codex), 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

Citations149
Published2000
Admission routes1
Has abstractyes

Explore more

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