A study to determine the dimensions of job satisfaction, job turnover tendency, individual personalities and psychological well-being in Tehran City Hall
Bibliographic record
Abstract
Among various indices of job attitudes, job satisfaction has gained especial attention by researchers and employers. Its measurement dates back to older times and the investigation of the influential factors on it are newer. Furthermore, because of its influences on organizations and people, job satisfaction has gained an increasing importance. Among various influential factors on job satisfaction and job turn over, the effect of individual personalities and psychological Well-Being is undeniable. In this article, we identify and categorize the significant factors in the four elements of job turnover, job satisfaction, individual traits and psychological Well-Being. We investigate nine factors of job satisfaction with 36 questions, two factors of the field of job turnover with seven questions, individual personalities with forty four questions and psychological Well-Being with eighteen questions and categorize them after doing a factor analysis. In this categorization, the dimensions of job satisfaction are reduced to seven dimensions. Job turnover is provided into two new dimensions. Individual personalities are categorized in eight main dimensions and the dimensions of psychological Well-Being are reduced to four dimensions. The data of this research has been gathered from 199 employees of Tehran city hall.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".