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Record W4416201877 · doi:10.1108/978-1-83608-116-6

School Discipline and Administrator Decision-making

2025· book· en· W4416201877 on OpenAlexaffabout
Stephanie Chitpin, David C. Young

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicEducation Discipline and Inequality
Canadian institutionsUniversity of TorontoSt. Francis Xavier UniversityUniversity of Ottawa
Fundersnot available
KeywordsSchool disciplineDisciplineWork (physics)Nova scotiaSchool systemEducational leadershipNeoliberalism (international relations)

Abstract

fetched live from OpenAlex

School Discipline and Administrator Decision-Making has been developed for leaders, practitioners, and researchers to explore the theory and practice of decision-making, with specific reference to school administrators and their response to school discipline. This work delves into the experiences of Canadian and Mauritian principals faced with tensions―sometimes racial―regarding discipline. School leaders have the potential to make valuable changes within their schools as their influence touches on all aspects of the school building and culture. Yet, often discipline presents a challenge for school leaders as it requires a certain degree of discretion, especially when examining the issue of racial discipline disparity gaps in schools. Exploring both a Western and non-Western context, the opening chapters highlight the rigidity of behavioural policies and the desire to break from such neoliberal practices despite fears of repercussion in Mauritius. This is followed by an exploration of the decision-making of principals in Ontario and Nova Scotia in a Canadian context. The chapters challenge neoliberal policies and guidelines by questioning current practices and proposing various leadership frameworks. By incorporating both a Canadian and Mauritian context, the authors highlight various strategies which can be used to rethink our current approaches to decision-making.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.205
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.029
GPT teacher head0.416
Teacher spread0.387 · 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
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
Published2025
Admission routes2
Has abstractyes

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