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Record W2342697826 · doi:10.5539/ies.v9n5p75

Heading for Success: Three Case Studies of School Transformation through Capital Construction

2016· article· en· W2342697826 on OpenAlexvenueno aff
Wenyan Chen, Hui-Ling Wendy Pan

Bibliographic record

VenueInternational Education Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsTransformative learningCapital (architecture)Context (archaeology)Perspective (graphical)SociologySocial capitalConstruct (python library)Explanatory powerCultural capitalPedagogySocial scienceEpistemologyGeography

Abstract

fetched live from OpenAlex

Utilizing capital as a construct to analyze leadership that triggers school transformation is a newly emerged perspective. This study employed the capital theory as the framework to explore how schools undertook the transformative tasks by multi-case study. Three secondary schools in Taiwan were recruited to investigate how leaders constructed the intellectual, social, spiritual, and financial capital and the interplay among the capitals. The findings indicated that despite certain strategies commonly employed by case schools, the ways schools develop capitals as the strategy of school transformation depended on their unique context. One form of capital might be used to facilitate another form of capital. The study applied capital perspective to Asian context has extended its explanatory power and has created the basis for further research in the field of school reform.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0120.006
Scholarly communication0.0040.003
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.197
GPT teacher head0.492
Teacher spread0.294 · 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 designQualitative
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

Citations1
Published2016
Admission routes1
Has abstractyes

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