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Record W2511393355 · doi:10.18666/jlr-2016-v48-i1-6263

Can Senior Centres be Contexts for Aging in Third Places

2016· article· en· W2511393355 on OpenAlexaff
Karen Gallant

Bibliographic record

VenueJournal of Leisure Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAging in placeReflexivityParticipatory action researchSociologyThird ageCitizen journalismFunction (biology)PsychologyPublic relationsSocial psychologyGerontologyPolitical scienceSocial scienceMedicine

Abstract

fetched live from OpenAlex

Guided by the concept of third place, a community-based participatory research study examined the features of the physical and social environment (e.g., the interactions and actions that occur) within a small senior centre in a mid-sized Cancadian city, and the meanings associated with them that facilitate or undermine aging in place. Reflexive observation and audio-recordings of team meetings with eight centre members constituted the research data. For 'regulars' the senior centre seemed to function as a third place that supported aging in place, particularly by being accessible (physically and financially); however there were several factors that seemed to undermine this potential including restrictive hours, and limited opportunities for leadership or control. Opportunities for meaningful engagement, sociability (particularly fun), and having a contributing role were identified as positive factors contributing to aging in place. The results are discussed in relation to the literature on third places and aging in place.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.008
Scholarly communication0.0080.005
Open science0.0020.010
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.077
GPT teacher head0.424
Teacher spread0.348 · 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

Citations24
Published2016
Admission routes1
Has abstractyes

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