INTERGENERATIONAL SILENT DISCO PARTIES FOR OLDER ADULTS LIVING IN LONG-TERM CARE
Bibliographic record
Abstract
Abstract Silent disco headphone parties in long-term care (LTC) settings offer a unique way to bring residents together to dance and share musical experiences through wireless, multichannel headphones. Unlike traditional group activities, these parties allow residents to choose their music, creating a personalized yet communal experience. Older adults living in LTC often experience loneliness and social isolation. Silent disco parties can offer a unique opportunity for socialization and enjoyment. This study explored the experiences of 22 older adults in silent disco parties with an intergenerational group of volunteers on the dance floor. Over six weeks, data were collected through video ethnography, including video recordings, conversational interviews, observations, and focus groups with 40 staff members. Thematic analysis identified three themes: intergenerational togetherness, social capacity, and inclusivity. Findings suggest that intergenerational silent disco parties hold promising potential to address loneliness and social isolation in LTC settings. Future research should investigate how these parties can influence residents’ social health and quality of life.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".