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Record W4406896427 · doi:10.14507/epaa.33.9106

Introduction to the special issue: Transforming school systems

2025· article· en· W4406896427 on OpenAlexaff
Vidya Shah, Caitlin C. Farrell

Bibliographic record

VenueEducation Policy Analysis Archives · 2025
Typearticle
Languageen
FieldDecision Sciences
TopicEducational Assessment and Improvement
Canadian institutionsYork University
FundersUniversity of Colorado Boulder
KeywordsMathematics educationSociologyPedagogyPsychologyPolitical scienceEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

As scholars studying school districts, we became increasingly concerned with how research from the Global North dominates global understandings of school governance, organization, and reform—what we term coloniality in global education reform. This special issue seeks to broaden these perspectives by examining how schools might be governed and organized with a focus on power, history, local and regional contexts, multiple ways of knowing, and sociopolitical dynamics. Through six articles, this issue interrogates how power operates and shifts across school organizing, governance, and community engagement. Featured studies span topics such as anti-racist leadership practices, the sociopolitical contexts of reform implementation, the reproduction of inequalities through “shadow education,” and the racialized dynamics of state takeovers. Insights from the Global South, particularly from Mexico and Brazil, challenge dominant narratives rooted in the Global North, highlighting the need to decenter Eurocentric perspectives. Extending this analysis, we reflect on how coloniality shaped the editorial process itself, revealing tensions around language, power, and representation in academic publishing. By questioning both global education reform practices and traditional approaches to academic scholarship, this special issue invites readers to critically examine with us the dominant paradigms and imagine more just, inclusive, and contextually-grounded possibilities for school governance and organization.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.417
Teacher spread0.389 · 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
GenreCommentary

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
Published2025
Admission routes1
Has abstractyes

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