Strategies for Developing Modern Administrators’ Change Leadership at Mahamakut Buddhist University
Bibliographic record
Abstract
This mixed methods research has main objectives consisting of investigating the components and creating strategies for the development of change leadership in the modern age among the administrators of Mahamakut Buddhist University. The sample consisted of administrators, teachers, and officers working in Mahamakut Buddhist University. Based on the implications of Krejcie and Morgan’s (1970) table for sample size allocation, a total of 262 samples were recruited. The quality of the research instruments can be verified by the content validity and reliability with an IOC of between 0.80 - 1.00 and a reliability of 0.98. The current existing condition of the change leadership for both the overall and the itemized analysis was found to be at a “Moderate level”. The strategies for the development of change leadership in the modern age among the administrators of Mahamakut Buddhist University had consisted of the following: 1) six measures for participation at work, 2) seven measures for collective vision, 3) six measures for the promotion of Wisdom exercises, 4) five measures for incentive and inspiration creation, and 5) six measures for promotion of teamwork.
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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 | 0.006 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 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".