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Record W4411580246 · doi:10.1002/dvr2.70028

“Run Away From the Crazy Diaper Boy”: Parental and Professional Perspectives on Social Inclusion for Children With Disabilities

2025· article· en· W4411580246 on OpenAlexaff
Donna Koller, Amarens Matthiesen

Bibliographic record

VenueDiversity & Inclusion Research · 2025
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInclusion (mineral)ScholarshipOppressionQualitative researchDisability studiesPsychologyDevelopmental psychologyNarrativeNarrative inquiryEarly childhoodStigma (botany)Social psychologySociologyGender studiesPolitical scienceSocial sciencePsychiatryPolitics

Abstract

fetched live from OpenAlex

ABSTRACT Social inclusion is an approach to practice where all children enjoy a sense of belonging in their communities. For children with disabilities, positive social experiences are often elusive and difficult to achieve and shaped by powerful structural factors that sustain and perpetuate oppression, stigma, and discrimination. Rooted in disability justice and disabled childhood studies scholarship, this qualitative study employed a hermeneutic, interpretive phenomenological approach to explore adult perspectives on childhood disability and social inclusion. Interviews were conducted with parents of children with disabilities ( n = 10), and professionals ( n = 23) comprised of early childhood educators and social service providers. Analysis revealed a complex narrative of unmet expectations, loss, and disillusionment with inclusive policies and practices. Participants offered recommendations to counter exclusionary outcomes. Policies and practices designed to promote social inclusion of children with disabilities often fail to achieve the desired outcomes. Acknowledging the rights of children with disabilities to be heard on these issues can begin to attenuate the persistent challenges associated with social inclusion.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0160.002
Scholarly communication0.0000.000
Open science0.0010.023
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.420
Teacher spread0.343 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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