Simple and Multiple Relationships between Ethical Leadership, Transformational Leadership and Ethical Climate and Organizational Spirituality among the Employees of the Iran National Steel Industrial Group
Bibliographic record
Abstract
<p>This study aimed to investigate the simple and multiple relationships of ethical leadership, transformational leadership, and ethical climate with organizational spirituality among the employees of the Iran National Steel Industrial Group in Ahvaz. This is a correlational study with a statistical population of all employees of an industrial organization in Ahvaz, of whom, 400 subjects were selected using the stratified random sampling method. The research instruments included ethical leadership questionnaire of Brown et al., General Transformational Leadership (GTL) questionnaire, ethical climate questionnaire of Hunt et al., and organizational spirituality questionnaire of Milliman et al., with acceptable validity and reliability. For testing the research hypotheses, the Spearman correlation coefficient and multivariate regression analysis were used. The results showed a significant relationship between ethical leadership, transformational leadership and ethical climate and organizational spirituality. The results of multiple regression analysis showed that ethical climate is the most important factor in explaining and predicting the organizational spirituality.</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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".