A Pilot Study Of The Impact Of An Intergenerational Program For Socially Isolated Seniors: Examining LINKages
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".