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Record W4386537634 · doi:10.5206/cie-eci.v52i1.15365

Questioning Equity and Excellence in Ontario and Scotland: Critical Policy Analysis of Parent Inclusion for Reducing Educational Inequality

2023· article· en· W4386537634 on OpenAlexvenueaboutno aff
Max Antony‐Newman

Bibliographic record

VenueComparative and International Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsExcellenceEquity (law)Political scienceInclusion (mineral)InequalityContext (archaeology)Educational equityEconomic growthSociologyPublic relationsEconomicsSocial scienceLaw

Abstract

fetched live from OpenAlex

Over the last three decades many countries made efforts to improve their education systems by increasing students’ academic achievement. A new appreciation of inequality in education among policymakers provided impetus to focus on equity. Parental involvement and engagement in education are vital for students’ academic achievement. If in the context of educational policy, excellence and equity go together, what is the role assigned to parents? A critical policy analysis of seven policy documents from Ontario and Scotland showed that policies acknowledge the crucial role of parents in achieving educational excellence and mention barriers marginalized parents face in engaging with their children’s education. The role of White middle-class nonimmigrant parents in pursuing excellence for their children at the expense of equity for all is neglected. Marginalized parents are seen through the deficit lens. Implications for policy include making parents from dominant groups visible and adopting an asset-based approach to marginalized parents.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

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

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 head0.287
GPT teacher head0.548
Teacher spread0.261 · 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.

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

Citations4
Published2023
Admission routes2
Has abstractyes

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