Daily Fluctuations in Office-Based Workers’ Leisure Activities and Well-Being
Bibliographic record
Abstract
This day-level study examines links between the amount of leisure time devoted to social, physical, and low-effort activities after the workday and affective well-being at bedtime. A sample of 95 office-based workers completed surveys over four consecutive days at bedtime (380 data points). Results revealed a within-person effect of leisure activity on daily affective well-being. Participants consistently reported enhanced mood before sleep on days when they spent more hours engaging in physical and social activities compared to their personal average number of hours spent on these activities across the four days of the study. However, on days when more hours were spent on low-effort activity, participants consistently reported decreased positive emotions. This suggests that time allocation to certain leisure activities may better support well-being on a daily basis. Discussion focuses on the implications of these findings for helping individuals enhance their evening leisure experiences by making astute leisure choices.
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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 | 0.001 |
| 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 | 0.001 |
| 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".