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Record W2787925081

A Comparison of Educational Leadership in Islamic and Western Countries and a Suggestion of a Model for a Global Society

2018· article· en· W2787925081 on OpenAlexaboutno aff
Sirous Tabrizi

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIslamPolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

or a global society to function well its members need certain attitudes, such as a desire for cooperation, mutual understanding and respect, as well as continuous and self-motivated learning. A model of education is needed that engenders these attitudes such that students critically understand these attitudes instead of passively accept them. This kind of education requires leadership that agrees with, and engages in, the same attitudes. This dissertation proposes a model of educational leadership for a global society, and presents an exploration and comparison of public high schools across three countries: Canada, Turkey, and Iran. The proposed model consists of three interrelated dimensions: leadership style (transformational leadership and high leadership delegation), organizational structure (highly ranked Learning Organization structure that is more horizontal than vertical), and approach to learning (an active learning approach that utilizes critical pedagogy). The schools were explored in terms of: their current practices and policies in the three dimensions, how well they ranked in those dimensions relative to the proposed model, and what obstacles exist for implementing the proposed model. A case study methodology was used in which 15 participants (5 per country) at different organizational levels (students, teachers, and principals) were interviewed to gather their opinions. The interview questions were organized by the three dimensions and followed the INVEST framework for Learning Organizations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.117
GPT teacher head0.355
Teacher spread0.239 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2018
Admission routes1
Has abstractyes

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