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Record W7043397881

School improvement leadership: Lessons learnt in the mountainous region of Gilgit-Baltistan

2023· other· en· W7043397881 on OpenAlexaboutno aff

Bibliographic record

VenueeCommons - AKU (Aga Khan University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsEducational leadershipDeconstruction (building)Developing countryField (mathematics)Instructional leadershipLeadership studiesWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

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

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.114
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.069
GPT teacher head0.254
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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