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Record W4387952601 · doi:10.1080/14927713.2023.2271949

Keeping isolation and loneliness at bay: how community centres can support belonging as we age

2023· article· en· W4387952601 on OpenAlexafffundvenue
Darla Fortune, Brittany Butler

Bibliographic record

VenueLeisure/Loisir · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLonelinessSocial isolationIsolation (microbiology)Focus groupSense of communityPsychologyAging in placeSocial supportGerontologySociologyPublic relationsSocial psychologyPolitical scienceMedicinePsychiatry

Abstract

fetched live from OpenAlex

Experiencing a sense of belonging is helpful for warding off loneliness and social isolation. With social isolation and loneliness among older adults increasingly recognized as a societal concern, it is important to understand the conditions that enhance belonging. The purpose of this paper is to share findings of a study that examined the role of a community centre in contributing to belonging for older adults. Forty-nine community centre members participated in a focus group or individual interview that explored their personal meanings and experiences of belonging. Findings suggest the community centre supports belonging by creating a welcoming environment, offering opportunities for meaningful involvement, and offering leisure programmes and services that meet diverse needs and interests. This paper responds to calls for research highlighting the benefits of community centres for older adults by suggesting their prospective benefit lies in their efforts to become spaces of belonging.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.051
GPT teacher head0.337
Teacher spread0.287 · 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 designObservational
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

Citations3
Published2023
Admission routes3
Has abstractyes

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