Surviving men’s depression: Women partners’ perspectives
Bibliographic record
Abstract
While men's gendered experiences of depression have been described, the perspectives of women partners who are affected by men's depression have received little attention. Women partners were recruited to explore how men's depression impacts them and its influence on gender regimes. Individual interviews with 29 women spouses were coded and analysed. Although idealized femininity positions women as endlessly patient and caring, our findings reveal significant challenges in attempting to fulfil these gender ideals in the context of living with a male partner who is experiencing depression. The strain and drain of living with a depressed man was a key element of women's experiences. Four sub-themes were identified: (1) resisting the emotional caregiver role, (2) shouldering family responsibilities, (3) connecting men to professional care and (4) preserving the feminine self. The findings suggest that men's depression has great potential to dislocate heterosexual gender regimes, and attention to gender relations should be included to ensure successful care management of men who experience depression.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".