Guidelines for Cross-Cultural Leadership Development of World Class Standard School Principals
Bibliographic record
Abstract
Cross-cultural leaders, are the behaviors or the characters of administrators who were able to manage or administrate people with different thoughts, beliefs, values and practice and combine them to form a single concept of being attentive to their work and trust their leaders to possess good attitudes and work efficiently for their ultimate goal of student development. The current study examines the situations of leadership and the guidelines for cross-cultural leadership development of World Class Standard School principals. The research sample was composed of 359 principals of World-Class Standard Schools in Secondary Educational Service Area Office. The research tool consisted of the 5-level rating scale questionnaire and the focus group discussion form. The data were analyzed by using descriptive statistics and content analysis. The research findings revealed five components rated from the highest to the lowest levels as follows: 1) Communication ( X = 4.24, S.D. = 0.71), 2) Empathy ( X = 4.24, S.D. = 0.73), 3) Conflict Management ( X = 4.22, S.D. = 0.72), 4) Transformational Leadership ( X = 4.21, S.D. = 0.72) and 5) Trust ( X = 4.16, S.D. = 0.74). The guidelines for developing cross-cultural leadership can be summarized as follows: principals should develop communication skills that were expressive, clear, and appropriate to the situations by using rhetorical skills in persuasive speech, exchanging of information between the networks of principals and other organizations, being good mediators, emphasizing teamwork, encouraging the school personnel to have a sense of participation and work successfully in order to achieve the vision of the school, remaining neutral, avoiding conflicts, creating consciousness and friendly atmosphere in the organization. Taking advantage of this research to improve the quality of administration in schools and administrators at all levels.
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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 | 0.067 | 0.134 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.008 |
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".