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Prelims

2023· book-chapter· en· W4387589918 on OpenAlexafffund
Stephanie Chitpin, Sharon Kruse, Howard Stevenson, David Young, Robert M. White, Mónica Williams, C. R. Young, Emma Dawson, Earle White, Winifred White, Michael Williams, Anne Williams

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsSt. Francis Xavier University
FundersSt. Francis Xavier University
KeywordsComputer science

Abstract

fetched live from OpenAlex

Transforming Education Through Critical Leadership, Policy and Practice is based on the belief that those in educational leadership and policy-constructing roles have an obligation to educate for a robust critical and democratic polity in which citizens can contribute to an open and socially just society.Advocating for a critical, socially just democracy goes beyond individual and procedural concerns characteristic of liberalism and seeks to raise and address fundamental questions pertaining to power, privilege and oppression.It recognizes that much of what has gone under the name of 'transformational leadership' in education seeks to transform very little, but rather it serves to reproduce systems that generate structural inequalities based on class, gender, race, (dis)ability and sexual orientation.This series seeks to explore how genuinely transformative approaches to educational leadership, policy and practice can disrupt the neoliberal hegemony that has dominated education systems globally for several decades, but which now looks increasingly vulnerable.The series will publish high-quality books, both of a theoretical and empirical nature, that explicitly address the challenges and critiques of the current neoliberal conditions, while steering leadership and policy discourse and practices away from neoliberal orthodoxy towards a more transformative perspective of education leadership.The series is particularly keen to 'think beyond' traditional notions of educational leadership to include those who lead in educative waysin social movements and civil society organizations as well as in educational institutions.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.725
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7250.533

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 head0.037
GPT teacher head0.296
Teacher spread0.259 · 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 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 routes2
Has abstractyes

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