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Record W4309457649 · doi:10.5195/aa.2022.391

Ageing in Space: Remaking Community for Older Adults

2022· article· en· W4309457649 on OpenAlex
Gudmund Ågotnes, Sara Charlesworth, Martha MacDonald

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAnthropology & Aging · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsSaint Mary's University
FundersYork University
KeywordsSociologyContext (archaeology)Everyday lifeSpace (punctuation)Diversity (politics)Divergence (linguistics)Social spaceSocial relationGender studiesPopulation ageingPopulationPublic relationsPolitical scienceSocial scienceGeographyAnthropology

Abstract

fetched live from OpenAlex

In this paper, we explore the needs of older adults for social interaction by investigating how local and everyday communities are produced by service organisations and experienced by their patrons. We approach the social needs of older adults through the lens of ‘community,’ both as a concept and as a lived experience. Our attention to communities of peers and arenas for everyday interaction is discussed in the context of the dominant policy discourse of ‘ageing in place.’ In this discourse, ‘place’ is predominantly interpreted as physical infrastructure, with little formal recognition of the importance of the arenas of social everyday interaction for older adults outside the home/family.Our exploration draws on the empirical study of three organisations in Toronto, Canada and Bergen, Norway that, in various ways, represent places for everyday interaction. We discuss how belonging is understood from the perspective of different older groups and how it is facilitated by organisations and services, through the creation of shared, informal social spaces. Even though there is considerable difference in size, aesthetics, target population and geographical impact field, all three organisations offered their patrons a space for informal social interaction in which they were allowed to claim the space as their own. Our analysis indicates a pronounced need for a diversity of arenas for older adults to interact socially. Furthermore, we portray how these spaces for everyday interaction are created often in addition to, or even in divergence from, the official mission of these organisations, in a form of co-optation by patrons.

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.

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 score0.294
Threshold uncertainty score0.996

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 studies0.0050.001
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 head0.023
GPT teacher head0.350
Teacher spread0.327 · 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