BENEFITS OF VOLUNTEERING ON RESILIENCE WITH AGING: A CASE STUDY
Bibliographic record
Abstract
Abstract As the study of volunteering among older adults continues to evolve, questions of the benefits of volunteering are of growing interest to many researchers. Volunteering may develop resilience in older adults as it can serve as a coping strategy as they recover from adverse events or other life challenges. We explored the perceived benefits of volunteering on resilience in later life among older adults who perform Korean traditional dance on voluntary basis. We used a qualitative design with a case study method. In this study, older adults’ volunteer dance performing was taken as a case. A case design enables researchers to understand social and cultural phenomenon in depth using a wide range of data collection and analysis methods. Thirteen volunteer performers of Korean traditional dance whose ages ranged between 61-74 years were recruited for in-depth interviews (11 females and 2 males). The analysis of the transcripts generated five themes related to the benefits of volunteering: (1) finding a sense of self-worth through serving others, (2) finding a sense of purpose, (3) experiencing gratitude, (4) renewing a younger self, and (5) building companionship. The findings of this study provided an empirical support showing how volunteering experience benefited resilience among the volunteers in the face of challenges associated with aging by maximizing positive physical, social, and psychological outcomes through involvement in voluntary dance performance. The findings also provide guidance for researchers and practitioners in positions to better serve older adults and thereby suggest volunteering as a resilience strategy in later life.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".