A social work study on the effect of gender and marital status on job satisfaction
Bibliographic record
Abstract
Job satisfaction plays an essential role on having happy society since people may have better lives when they fully satisfied with their jobs. In this paper, we present an empirical study to investigate the effect of marital status as well as educational background on job satisfaction. The study performs the study among university employees of Khomeinishar branch located in province of Esfahan, Iran and all questions are designed in Likert scale of 1-5 based on Brayfield & Rothes Index of job satisfaction. Using a sample of 100 people, the study first uses Kolmogrov-Smirnov test and verifies that all data are normally distributed (=5%). The survey also finds that there is no difference between female and male employees in terms of job satisfaction (=5%). In addition, the study confirms that marital status has no significance on job satisfaction (=5%).
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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 | 0.001 |
| 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 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".