Emerging Adult Women's Experiences of Music and Nature at a Music Festival
Bibliographic record
Abstract
This study explored how engagement with music and nature in a Canadian outdoor music festival setting benefits emerging adult females, a population reported to experience ever-growing demands, pressures, and expectations in their everyday lives. Recent empirical accounts highlight the psychologically restorative effects of engagement with music for music festival attendees. However, no studies have yet directly examined (a) the benefits of the natural wilderness setting of the outdoor music festival for attendees' wellbeing, and (b) the interconnection of nature and music to facilitate health and wellbeing as conceptualized within a bio-psycho-social-spiritual framework. A purposeful sample was recruited based on age (18-29 years old); past festival attendance (2 or more); and the belief that attending music festivals was beneficial to their health and wellbeing. Recruitment and data collection occurred on-site during a 2018 summer music festival. Four women participated, each one individually interviewed for a period of 45 to 75 minutes in a semi-structured manner. Interviews were taped, fully transcribed, and then analyzed using Interpretative Phenomenological Analysis. Findings suggested that the wellbeing dimensions of (a) positive emotion, (b) engagement, (c) positive relationships, (d) meaning, and (e) accomplishment are optimized when engaging with music and nature in a Canadian outdoor music festival setting, a particularly beneficial and life-enhancing experience for young women negotiating emergent adulthood. Implications for practice and further research are noted.
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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 | 0.001 | 0.002 |
| 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 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".