Exploring ageing and time as resources in men's mental health experiences
Bibliographic record
Abstract
Abstract While research on men's mental health is increasing, it has not typically focused on the intersections between ageing, masculinity and mental health in a rural context. Given the significant increase not only in our global ageing population, but also our growing awareness of mental health problems in the general population, understanding men as they grow older in relation to mental health is a notable gap in research. In this paper, the authors explore the ageing experiences of male participants over 50 with self-identified mental health problems in rural Manitoba. We draw on semi-structured qualitative interviews from a larger project which focused on the diversity of rural men's perceptions, experiences and expressions of mental health and wellness. Specifically, we explore how these men reflect on their mental health and wellness. Participants in the study described their experiences as a cumulative process of making meaning, developing strategies, resources and a more positive sense of self – but sometimes also simply for survival. Men's sense of time over time – looking back and reflecting on the present and the future – appears to be a critical resource and a positive coping strategy for these men associated with ageing. The main themes include sustaining relationships; work, retirement and volunteering; and reflections on physical and emotional health. Our paper concludes with a discussion of the implications for new research on ageing men's mental health in a rural context.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".