Analysis of work-life balance from the viewpoint of Iranian accountants
Bibliographic record
Abstract
Work-life balance (WLB) plays an essential role on having peaceful life. There has been a substantial growth of families where both husband and wife work. Despite enjoying advantages of role mixture, life style in family has been faced by tremendous pressures due to ignoring conventional division of work in family as well as making new and more commitments. One of these pressures is the conflict between work and life, which could lead to unfavorable impacts on social integrity of family functions, mental and social health. This paper investigates WLB in terms of accountants' perspective. The proposed study designs a questionnaire, which contains 12 questions where 6 questions are associated with the importance of WLB and the other 6 questions are associated with effective variables in creating WLB. The method of the research is descriptive-survey and the study uses ANOVA test to analyze the results. The researcher has employed Friedman test to score research variables. The results of the research indicate that WLB components had different rates of importance among accountants with various genders.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".