The relationship between work arrangements and work-family conflict
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
BACKGROUND: A review of the literature determined that our understanding of the efficacy of flexible work arrangements (FWA) in reducing work-family conflict remains inconclusive. OBJECTIVE: To shed light on this issue by examining the relationship between work-to-family conflict, in which work interferes with family (WFC), family-to-work conflict, in which family interferes with work (FWC), and four work arrangements: the traditional 9-5 schedule, compressed work weeks (CWWs) flextime, and telework. METHODS: Hypotheses were tested on a sample of 16,145 employees with dependent care responsibilities. MANCOVA analysis was used with work arrangement as the independent variable and work interferes with family (WFC) and family interferes with work (FWC) as dependent variables. Work demands, non-work demands, income, job type and gender were entered into the analysis as covariates. RESULTS: The more flexible work arrangements such as flextime and telework were associated with higher levels of WFC than were fixed 9-to 5 and CWW schedules. Employees who teleworked reported higher FWC than their counterparts working a traditional 9-to-5 schedule particularly when work demands were high. CONCLUSIONS: The removal of both temporal and physical boundaries separating work and family domains results in higher levels of work-family interference in both directions. The results from this study suggest that policy makers and practitioners who are interested in improving employee well-being can reduce work-family conflict, and by extension improve employee mental health, by focusing on the effective use of traditional and CWW schedules rather than by implementing flextime and telework arrangements.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 it