Investigating the effect of quality of work life on quality of family life
Bibliographic record
Abstract
A healthy and good family condition is often involved with other factors such as work conditions. In this paper, we present an empirical investigation to study the effects of the quality of work life on quality of family life. The study uses a standard questionnaire and distributes it among all 35 full time employees of a prison in province of Semnan, Iran. Cronbach alphas for quality of work life and family life are 0.967 and 0.840, respectively. In our survey, quality of work life consists of eight components including fair and sufficient payment, safe and healthy work conditions, human development capabilities, growth and secure opportunities, social integration, rule of law, general atmosphere of work life and social dependence of work life. The survey has used Pearson correlation ratios as well as stepwise regression analysis and the results have confirmed that having safe and healthy work conditions strongly influences quality of family life.
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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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".