Structure and correlates of spillover from nonwork to work: An examination of nonwork activities, well-being, and work outcomes.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Employees today are involved in many different types of activities outside of work, including family, volunteering, leisure, and so on. The purpose of this study was to understand how participation in such nonwork activities can both enrich and interfere with well-being and behavior at work. Four dimensions of nonwork-to-work spillover were examined to better understand this process (i.e., positive emotional, negative emotional, positive behavioral, and negative behavioral). Survey data were collected in 2 waves from 293 staff and faculty members of a large Canadian university (N = 108 matched surveys from both waves). We found that volunteering is associated with increased well-being and work satisfaction, and that it creates positive emotional and behavioral, and negative behavioral spillovers. We also found that sports, recreation, and fitness are associated with improved well-being and positive emotional spillover. Negative spillover is associated with negative outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it