How does family support facilitate job satisfaction? Investigating the chain mediating effects of work–family enrichment and job‐related well‐being
Bibliographic record
Abstract
While a direct relationship between family support and job satisfaction has received empirical support, few work-family studies have examined how family support leads to job satisfaction. Drawing on the work-home resources model, we investigate the chain mediating roles of work-to-family enrichment (WFE), family-to-work enrichment (FWE), and job-related well-being on the relationship between family support and job satisfaction. Based on data collected from 439 social workers across Australia, structural equation modeling results revealed that the chain mediating effects of WFE and job-related well-being were supported. Our findings emphasize the important combination of work-family enrichment and job-related well-being in helping employees to harness support from their family members to achieve job satisfaction. We discuss both the theoretical and practical implications of the WFE, FWE, and job-related well-being mechanisms underlying the family support-job satisfaction relationship.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".