A meta‐analytic investigation of the personal and work‐related antecedents of work–family balance
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
Summary We conducted a meta‐analysis examining antecedents of work–family balance, including personal characteristics, work demands, and work resources, as well as bidirectional conflict and enrichment. Bivariate results across 130 independent samples ( N = 223 055) revealed that personal characteristics linked to more negative affect (i.e., neuroticism) and work demands (i.e., work hours, work overload, and job insecurity) were negatively associated with balance, whereas personal characteristics linked to more positive affect (i.e., extraversion and psychological capital) and work resources (i.e., job autonomy, schedule control, and workplace support) were positively related to balance. Family‐to‐work enrichment (FWE) was more strongly related to balance than was family‐to‐work conflict (FWC), and work‐to‐family conflict (WFC) was more strongly related to balance than was FWC. Finally, integrating tenets of job demands‐resources (JD‐R) theory, we examine two pathways (i.e., strain and motivation) through which antecedents relate to balance using meta‐analytic structural equations modeling (MASEM). In the strain pathway, neuroticism and job overload were negatively related to balance indirectly through higher WFC. In the motivation pathway, extraversion and job autonomy were positively related to balance indirectly through higher WFE. Work social support related positively to balance through higher WFE as well as lower WFC. We discuss theoretical and practical implications.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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