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Record W4387019875 · doi:10.1080/13603116.2023.2257697

Inclusive education policies – objects of observance, omission, and obfuscation: ten years on …

2023· article· en· W4387019875 on OpenAlexfundno aff
Ian Hardy, Stuart Woodcock

Bibliographic record

VenueInternational Journal of Inclusive Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsnot available
FundersMinistère de l’Éducation, Gouvernement de l’Ontario
KeywordsInclusion (mineral)SociologyState (computer science)Education policyPolitical scienceEconomic growthPedagogyGender studiesHigher educationLawEconomics

Abstract

fetched live from OpenAlex

This article draws upon a critical policy analysis approach to examine the state of inclusive education policy in Global North settings over the past decade.Building on an earlier paper on this topic ten years ago, this updated article seeks to explore whether and how inclusion and inclusive education have been understood in varied international, national and sub-national policy settings over time.While it might be anticipated that schooling systems should be more aware and proactive in supporting inclusion within their policies, our findings reveal mixed results.At times, there appears to have been regression in some settings, stagnation in others, as well as moderate progress in other settings in relation to support and advocacy for inclusion in educational policies.In an era of increased attention to a range of issues of inclusion more broadly over the past decade (e.g.marriage equality, gender fluidity, Black Lives Matter, #StopAsianHate), our article cautions against assuming that such movements have somehow led to a more 'inclusive' conception of students' identities and wellbeing in schooling policy.Whether and how teachers can be expected to be more inclusive in their practices in such a variegated policy environment is an area for continued inquiry.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.775

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 science0.0010.000
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 head0.011
GPT teacher head0.384
Teacher spread0.373 · 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 designNot applicable
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

Citations29
Published2023
Admission routes1
Has abstractyes

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