Checking the Relationship between Quality of Work Life and Employees Job Satisfaction of Education District 10 of Tehran
Bibliographic record
Abstract
Considering the fact that in all of the organization including education organization quality of work life today has found a special place, because this reason lack and vacuum of working life quality cause employees have not spirit that they should have to work, and this leads to job satisfaction and ultimately employee productivity reduce and working environment and career seem hollow. So in this research tried to assess the relationship between work life quality and job satisfaction in Education Organization of Tehran. This research was conducted in period is July and August 2015. The research method is descriptive and correlational and the study population included all employees in the Education Organization 10 District of Tehran. The total number is 100 people. That according to Cochran formula was calculated sample size of over 79 people. In this study, for the data analysis, descriptive and inferential statistical methods such as Kolmogorov - Smirnov correlation test was used. The study results showed that 8 independent variable of this research significantly have significant relationship with dependent variable job satisfaction.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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".