Men’s Perspectives on Individual and Family Coping with their Wives’ Breast Cancer and Chemotherapy
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".