Evaluation of an intergenerational volunteer program for persons living with dementia and their care partners
Bibliographic record
Abstract
Abstract For people living with dementia, staying connected and engaging in meaningful activities can have a considerable impact on their quality of life. However, people living with dementia are often subject to dementia‐related stigma putting them at increased risk of social isolation. For care partners who might be struggling emotionally and physically, dementia‐related stigma makes it less likely they will seek help when caring for their loved one. The objective of this study was to evaluate the implementation and effectiveness of person‐centered intergenerational volunteer programs for people living with dementia. More specifically, this study evaluated an intergenerational program that pairs people living with dementia in the community and in long‐term care homes with university and high school students to engage in one‐on‐one friendly interactions with the same students for two hours, twice a week (people living with dementia can also choose to be paired with 2 students to receive more visits per week). Results from data compiled between 2021 and 2023 on 165 students, 54 care partners, and 54 people living with dementia collected at baseline, 4 months, 8 months, and 12 months (i.e., ageism, caregiver burden, quality of life) and feedback about the program collected at 4 months, 8 months, and 12 months will be presented. The implementation, adoption, and sustainability of intergenerational programs will also be discussed. Intergenerational volunteer programs have the potential to improve the quality of life of people living with dementia and to promote dementia‐friendly communities and culture change in long‐term care homes.
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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 | 0.004 | 0.006 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".