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Record W1891181621

Toward an Interdisciplinary Framework for Educational Inclusivity

2013· article· en· W1891181621 on OpenAlexvenueaboutno aff
Christopher DeLuca

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)Dialogical selfNormativeSociologyQueerDisability studiesPedagogyDisciplineMulticulturalismEpistemologyTransgressiveFoundation (evidence)Construct (python library)PsychologyMathematics educationGender studiesSocial psychologySocial sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

This purpose of this paper is to provide a theoretical foundation for inclusion in Canadian schools for this Special Issue on Inclusive Education . In response to the need for an interdisciplinary framework, this paper uses an interpretive literature review methodology to construct a framework for educational inclusivity based on four disciplinary perspectives: (a) special education and disability studies, (b) multiculturalism and anti-racist education, (c) gender and women’s education, and (b) queer studies. The constructed framework elucidates four conceptions of inclusivity––normative, integrative, dialogical, and transgressive––positioned on a continuum with each conception representing a different approach to inclusion. Unlike previous models, this framework is not anchored to any one marginalized group; rather, it is intended to represent multiple forms of inclusivity to edify historical, existing, and idealistic educational practices and structures for all forms of difference.

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)0.043
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.219
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0120.008
Science and technology studies0.0260.144
Scholarly communication0.0300.024
Open science0.0060.021
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.056
GPT teacher head0.375
Teacher spread0.319 · 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 designTheoretical or conceptual
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

Citations58
Published2013
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Education / Revue canadienne de l éducationSame topicCollaborative Teaching and InclusionFrench-language works237,207