RAISING OUR VOICES: THE BENEFITS OF AN INTERGENERATIONAL CHOIR FOR PEOPLE WITH DEMENTIA AND THEIR CARE PARTNERS
Bibliographic record
Abstract
Abstract This interdisciplinary symposium focuses on the Voices in Motion (ViM) choir, a novel social intervention to address issues of stigma and social isolation among older adults with dementia and their caregivers. ViM is an intergenerational choir for community-dwelling older adults with dementia (PwD) and their caregivers. Local high school students participated in the choir and added to the lively social interactions. Two professionally directed ViM choirs were fully implemented in 2018-2019 with a public performance in the Fall and Spring seasons. This symposium brings together multiple methodologies to investigate the effects of choir participation on cognition, social connections, stigma, and quality of life for the dyads. Results in the individual papers demonstrate the positive impact of choir participation on dyads (n=26) for measures that includecognition (MacDonald), well-being and quality of life (Sheets), and social connections (Smith). Taken as a whole, the papers indicate that this social intervention offers an effective non- pharmacological alternative approach for older adults with dementia. Choir participation has important and significant impacts on psycho-social well-being and quality of life. The body of evidence presented points to the importance of intergenerational programs that are dementia-friendly and that support meaningful participation by older adults with dementia in the broader community. Discussion focuses on implications for social policy with attention on the replication and sustainability of the program.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".