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Record W4386763404 · doi:10.32920/24150474

Understanding Inclusive Early Childhood Education: A Capability Approach

2023· preprint· en· W4386763404 on OpenAlexaff
Kathryn Underwood, Angela Valeo, Rebecca Wood

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCapability approachIntervention (counseling)Early childhood educationPedagogyEarly childhoodSpecial educationInclusion (mineral)PsychologySociologyDevelopmental psychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This article explores the application of current discourse in inclusive education, particularly the capability approach and its utility in early childhood education. The article highlights the tensions between a rights-based discourse that informs inclusive education practice and the right for children to have early intervention. Structural approaches to supporting children with disabilities are examined. These structural approaches are evaluated using the framework developed using the capability approach. The article aims to ease some of the tensions that arise from differing philosophical approaches to education for young children, and to provide a framework for addressing the developmental and social needs of young children with disabilities.

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)0.006
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.037
Scholarly communication0.0070.012
Open science0.0010.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.237
GPT teacher head0.386
Teacher spread0.149 · 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
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 routes1
Has abstractyes

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