Presenting a Practical Model of Reinforcing Spiritual Leadership in Educational Institutes (A Case Study)
Bibliographic record
Abstract
The present study seeks to identify the relation between the components of spiritual leadership and to present a practical model to reinforce the spiritual leadership in Tabriz Branch, Islamic Azad University. The research is of descriptive type, and the statistical population consists of all the official personnel of Tabriz Branch. The research sample, with regard to the limited size of the population, has been calculated 70 through the use of the sampling formula for limited populations as well as the application of simple random sampling technique. In order to collect data, the researchers have used a standard questionnaire. For data analysis, the statistical t-test, the interpretative structural modeling (ISM) technique, and MICMAC analysis have been used. The results of examining the dimensions of spiritual leadership indicate that each of the mentioned dimensions is higher than average. Also, the results of interpretative structural modeling technique and MICMAC analysis show that the components of organizational vision, organizational commitment, and hope/faith are the most effective among the components of spiritual leadership.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".