The effects of participating in a community concert band on senior citizens’ quality of life, mental and physical health
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Music participation has been shown to have many positive effects on older adults, including on perceived health, mental well-being and social interactions. However, researchers have yet to explore the experience of older adults who are just starting their musical journey. This study’s goal was to determine the extent to which participating in a community band had an impact on the quality of life (QoL), mental health and physical health of beginner musicians 60+ years old. The theoretical framework used for this project was the biopsychosocial model, which posits that health is influenced by the interactions between biological, psychological and social factors. Using a quasi-experimental design, the researchers followed eight participants over four months of music instruction and compared them to a control group of eight non-musicians. Interviews, questionnaires and physiological tests were carried out pre- and post-intervention. Results were analysed using the biopsychosocial model’s factors and thematic analyses. Physically, subjects reported self-perceived improvements in breathing and physical endurance. Psychologically, benefits included increased well-being, cognitive stimulation, sense of purpose and identity, as well as overall enjoyment. Socially, positive outcomes identified were being part of a group, meeting new people, and keeping in touch or reconnecting with friends. Band members reported a high level of satisfaction, which is in keeping with findings from the literature. Further pedagogical considerations are discussed.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it