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Record W4205314270 · doi:10.5539/ies.v15n1p63

Leadership Roles for Mindful Schools: Examining Relationships Between Different Leadership Roles of School Principals and School Mindfulness

2022· article· en· W4205314270 on OpenAlexvenueno aff
Gülay Öngel, Erkan Tabancalı, Miṫhat Korumaz

Bibliographic record

VenueInternational Education Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessTransformational leadershipPsychologyInstructional leadershipEducational leadershipPrincipal (computer security)Leadership stylePedagogyMathematics educationSocial psychologyClinical psychology

Abstract

fetched live from OpenAlex

The purpose of this study is to reveal leadership roles of school principals having impact on school mindfulness. This quantitative study with correlational design involves 389 teachers from secondary and high schools in Buyukcekmece, Istanbul province. The researchers used the ‘School Mindfulness’ and ‘Leadership Roles of School Principals’ scales. In the study descriptive statistics, correlation and regression analyses were used to reveal the prediction level. The findings showed that visionary and transformational leadership roles of school principals strengthen school mindfulness and the sub-categories of faculty and school principal mindfulness. In addition, instructional leadership roles of school principals predict principal mindfulness. However, cultural leadership was found to have no effect on school mindfulness.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.541
GPT teacher head0.400
Teacher spread0.141 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2022
Admission routes1
Has abstractyes

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