Investigating the Psychological Well-Being and Job Satisfaction Levels in Different Occupations
Bibliographic record
Abstract
<p class="apa">The purpose of this research was to investigate the relationship between job satisfaction and psychological well-being levels of different occupational employees (education, security, health, justice, worker, engineer, and religious official) carrying on their duties in different institutions and organizations in a mid-scale provincial center of Eastern Anatolian region in Turkey. Furthermore, the research also discussed the differentiation between psychological well-being and job satisfaction in terms of occupational areas, income levels and service period of different occupational employees. The research group included totally 348 employees including 107 female and 241 males between 21 and 64 years old. Psychological Well-Being Scale, Job Satisfaction Scale, and Personal Information Form were used as data collection tools in the research. According to the research results, a positive mid-level relationship was proved between psychological well-being levels and job satisfaction levels of the employees. In terms of occupational areas and income levels, a significant differentiation was observed between psychological well-being and job satisfaction scores of the occupational employees. Finally, no significant difference was determined between psychological well-being and job satisfaction levels of the employees.</p>
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".