Exploring the Perspectives and Experiences of Older Chinese Australian Women on Piano Learning Activities
Bibliographic record
Abstract
The global population is ageing, and older Chinese Australians constitute a significant and growing demographic within this trend. This qualitative study explored the experiences and perspectives of three older Chinese Australian women (aged 60 and above) who were engaged in piano learning activities within the Chinese community in Whitehorse, Victoria. The participants were all post-retirement individuals who had previously prioritised family responsibilities over personal interests and aspirations. Their decision to pursue piano learning in later life reflects a broader trend among older adults seeking to engage in meaningful activities that promote personal growth and well-being. To understand the individual benefits and factors influencing their satisfaction, the study drew on Herdiyan Maulana and Nigar G. Khawaja’s cultural perspective of well-being and the Dynamic Equilibrium Theory by Headey and Wearing (1989). The research employed semi-structured interviews and thematic analysis to examine the individual benefits perceived by participants and the factors influencing their satisfaction with piano learning activities. The findings reveal that piano learning provided these women with a sense of achievement, fulfilling long-held aspirations that had been delayed by family responsibilities and resource constraints. Moreover, it also serves as a bridge to connect with family, friends, and their cultural heritage, enhancing their social and emotional well-being. However, participants faced challenges such as finding culturally appropriate piano teachers, physical limitations, and balancing practice with family duties. Overall, this study highlights the importance of culturally sensitive and age-appropriate music education programs in supporting the well-being of older Chinese Australian women. In addition, future research should address the limitations of this study by incorporating larger sample sizes, exploring diverse musical activities and examining the long-term effects of music learning on this population.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".