Being a Husband and Caregiver: The Adjustment of Roles When Caring for a Wife Who Has Dementia
Bibliographic record
Abstract
Abstract As demographics and gender norms shift, more older men will be providing care for their wives living with dementia than ever before. Research on husbands as caregivers is limited and offers an incomplete picture of their role development and how they experience caregiving. This study examined husbands whose wives have dementia and how they provide care and construct their sense of self. Semi-structured interviews with 11 men aged 61–88 were conducted in Ontario, Canada. Data were analyzed using constant comparison analysis and a constructivist grounded theory (CGT) approach. Two categories were developed: Adapting to the Role of Caregiver and Staying a Husband. Caregiving as a husband for a wife living with dementia required revision of the role of husband to include that of caregiver by reimaging intimacy, being a protector in new ways, and finding new meanings to being a provider and the value of wealth.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".