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Record W1533382886

A Pilot Study Of The Impact Of An Intergenerational Program For Socially Isolated Seniors: Examining LINKages

2014· article· en· W1533382886 on OpenAlexvenueno aff
Marta A. Shaw

Bibliographic record

VenueJournal of undergraduate research in Alberta · 2014
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessVitalityPsychologyGerontologySocial isolationMeaning (existential)Social supportUCLA Loneliness ScaleScale (ratio)Social engagementPopulationSocial psychologyDevelopmental psychologyClinical psychologyMedicineSociologyDemographyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

An increasing number of elderly people are remaining at home long into their senior years. This is a highly vulnerable population, at risk of loneliness, isolation, depression and associated adverse health outcomes. Intergenerational social programs are intended to enable social contact, promote active participation and sharing, as well as provide a sense of meaning for seniors. The purpose of this pilot study was to examine social and health outcomes of long-term senior participants at the intergenerational organization, LINKages. Twenty-one participants completed the UCLA Loneliness Scale, Engagement in Meaningful Activities Scale, MOS Social Support Survey, the Short Form Health Survey and participated in a semi-structured interview. Results indicate that intergenerational programs do target lonely seniors, who have an average sense of engagement in meaningful activities compared with standardized norms. A stronger bond with a younger volunteer was associated an increased sense of social support. Finally, decreased loneliness, engagement in meaningful activities and sense of social support were all related to increased vitality. The study findings indicate that intergenerational programming is successful in targeting lonely older adults and that improvements in the social outcomes, such as loneliness, support and sense of meaning are associated with better health.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.164
GPT teacher head0.492
Teacher spread0.328 · 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.

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

Citations2
Published2014
Admission routes1
Has abstractyes

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