Leisure’s Relationships with Hedonic and Eudaimonic Well-Being in Daily Life: An Experience Sampling Approach
Why this work is in the frame
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Bibliographic record
Abstract
Research on leisure and subjective well-being has focused on hedonic well-being (e.g., positive affect). Leisure’s relationships with eudaimonic well-being (e.g., meaning) remains underexplored. The literature also lacks non-Western perspectives. This study examined leisure’s relations with shiawase and ikigai, Japanese concepts that represent hedonic and eudaimonic well-being, respectively. A smartphone-based experience sampling method was used. A total of 2,207 responses were collected from 83 Japanese university students. Multilevel linear modeling showed that free time (e.g., lunch, evenings) predicted higher levels of daily shiawase and ikigai, while ikigai appeared to stay higher during afternoon. Various leisure activities positively predicted shiawase and ikigai levels, with event/trip, eating/drinking, socializing, and hobbies being the best predictors. A few activities (e.g., exercise) differentially predicted the outcomes. Among subjective experiences common during leisure, intrinsic motivation, enjoyment, stimulation, and comfort were positively correlated to shiawase and ikigai, whereas effort predicted only ikigai.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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