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Record W2120143917 · doi:10.1017/s0714980811000596

A Community-Engaged Art Program for Older People: Fostering Social Inclusion

2012· article· fr· W2120143917 on OpenAlex
Elaine Moody, Alison Phinney

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

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsHumanitiesInclusion (mineral)Political scienceSociologyArtGender studies

Abstract

fetched live from OpenAlex

Social inclusion is an important factor in promoting optimum health and wellness for older adults. Community-engaged arts (CEA) have been promoted as a means to support social inclusion for this population, but little empirical evidence has been reported. The objective of this study was to explore the role of a CEA program in the social inclusion of older, community-dwelling adults. Sixteen hours of participant observation, nine interviews, and document analyses were conducted with 20 older adults participating in the Arts, Health and Seniors (AHS) Program in Vancouver. Results indicated that the program supported seniors' capacity to connect to community in new ways by helping them forge connections beyond the seniors centre. Participants also developed a stronger sense of community through collaboration as a group, working together on the arts project towards a final demonstration to the larger community. The results suggest that CEA programs contribute to social inclusion for older people.

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)0.014
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0260.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.309
Teacher spread0.267 · 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