Bibliographic record
Abstract
The present research aimed to study the relationship between lifestyle and job stress with job satisfaction.This is an applied research and has a correlation methodology.The research sample is 150 employees of ports and maritime organization (PMO) in Genaveh during 2014-2015.Sampling is done by census report and all statistical population was applied.The research tools are 3 questionnaires of job satisfaction introduced by Kendall and Hullin, job stress of Astaynmtz and lifestyle of Lali.For data analysis at inferential statistics level, Pearson correlation coefficient and regression was used.Research findings showed that there is a meaningful relationship between lifestyle and job stress with job satisfaction.The more lifestyle improves, the more job satisfaction increases and the more job stress is, the less is job satisfaction.Moreover, regression analysis revealed that all dimensions of lifestyle, except for drug and narcotics prevention, can predict job satisfaction.Also, as far as job stress is concerned, the greatest mean was related to coworkers and the lowest mean was related to supervisors and both of them could predict jib satisfaction.Therefore, lifestyle and job stress can both predict job satisfaction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.936 | 0.897 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".