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Record W3142194676 · doi:10.1017/s0144686x21000362

Exploring ageing and time as resources in men's mental health experiences

2021· article· en· W3142194676 on OpenAlexaffabout
Kerstin Roger, Rachel Herron, Mairo Ahmadu, Jonathan A. Allan, Candice Waddell-Henowitch

Bibliographic record

VenueAgeing and Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsBrandon UniversityUniversity of Manitoba
Fundersnot available
KeywordsMental healthPsychologyGerontologyMasculinityContext (archaeology)Qualitative researchCoping (psychology)Population ageingPopulationMedicineSociologyClinical psychologyPsychiatryGeographySocial scienceEnvironmental health

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.299
Teacher spread0.246 · 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 teacher head, not a consensus.

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

Citations2
Published2021
Admission routes2
Has abstractyes

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