An empirical investigation on the effects of spiritual leadership components on organizational learning capacity: A case study of Payame Noor University
Bibliographic record
Abstract
This paper presents an empirical investigation on the effects of spiritual leadership components on organizational learning capacity for a case study of Payame Noor University, Iran.The proposed study uses a standard questionnaire for measuring spirituality leadership proposed by Fry (2003) [Fry, L. W. (2003).Toward a theory of spiritual leadership.The leadership quarterly, 14(6), 693-727.]and for measuring the impact of organizational learning capacity, the proposed study uses another questionnaire proposed by Teo et al. (2006) [Teo, H. H., Wang, X., Wei, K. K., Sia, C. L., & Lee, M. K. (2006).Organizational learning capacity and attitude toward complex technological innovations: an empirical study.Journal of the American Society for Information Science and Technology, 57(2), 264-279.].The results of our survey have indicated that all components of spiritual leadership, except love and altruism as meaningful, influence spirituality leadership, significantly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".