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Record W2565891356 · doi:10.1017/s0144686x16001331

Older men's perceptions of the need for and access to male-focused community programmes such as Men's Sheds

2016· article· en· W2565891356 on OpenAlexafffundabout
Mary Anne Nurmi, Corey S. Mackenzie, Kerstin Roger, Kristin Reynolds, J. S. Urquhart

Bibliographic record

VenueAgeing and Society · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of Manitoba
FundersMovember CanadaMovember Foundation
KeywordsAttendanceFocus groupSocial isolationPerceptionGerontologyPsychologyGender studiesSociologyPolitical scienceMedicinePsychiatry

Abstract

fetched live from OpenAlex

Although participating in community social programming is associated with positive physical and mental health outcomes for older adults, older men participate less often than women. Men's Sheds is a community programme used primarily by older men that originated in Australia and is well established there. The goal of the current study was to explore men's perceptions of the need for Men's Sheds and issues concerning access to them in Canada, a country with a small but growing Men's Sheds movement. We conducted focus groups with 64 men aged 55 years and older, including Men's Sheds members and men from the community who were unfamiliar with this programme, and analysed the data using the framework analytic approach. The data revealed two primary themes concerning: (a) the need for male-focused community programmes, including the sub-themes reducing isolation, forming friendships and engaging in continued learning; and (b) access to programmes, including the sub-themes points of contact, sustaining attendance and barriers. Findings suggest that in order to reduce the likelihood of isolation and increase opportunities for social engagement, exposure to the concept of male-focused programming should begin before retirement age. In addition, such programmes should be mindful of how they are branded and marketed in order to create spaces that are welcoming to new and diverse members.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.360
Teacher spread0.325 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations72
Published2016
Admission routes3
Has abstractyes

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