School improvement leadership: Lessons learnt in the mountainous region of Gilgit-Baltistan
Bibliographic record
Abstract
Educational Leadership Policies and Practices highlights voices from different developing countries that echo the need for sustainable, enabling, and liberating educational leadership that will stimulate ideas and ideals to usher new ways of looking at old problems of educational leadership. The chapters, largely, are based on original empirical field research, learnings drawn from applied research, and study of organizational learning. In addition, they are based on policy analysis and analytical deconstruction of the mind-boggling nuances of pedagogical, transformational, or transforming leadership theories. In an area where so little has been written on school and system leaders, Educational Leadership Policies and Practices: Voices from the Developing Countries is a very welcome contribution to the field. The various authors do a great job of portraying how radically different the contexts are for making education progress as leaders. We see the familiar concepts: transformational, moral, pedagogical, capacity building, contingent, mobilizing community, and so on, but the contexts are so different that the findings and lessons generate new ideas about leadership. The six main leadership lessons for less developed countries examined in the final chapter are especially powerful. Michael Fullan, Professor Emeritus, OISE/University of Toronto, Canada
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".