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Record W2604184831 · doi:10.1111/chso.12223

Defining Social Inclusion for Children with Disabilities: A Critical Literature Review

2017· article· en· W2604184831 on OpenAlexafffund
Donna Koller, Morgane Le Pouesard, J Anneke Rummens

Bibliographic record

VenueChildren & Society · 2017
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of TorontoToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of CanadaAdministration for Community Living
KeywordsLonelinessInclusion (mineral)SafeguardingPsychologyDevelopmental psychologyFocus groupStakeholderSocial psychologySociologyMedicinePublic relationsPolitical scienceNursing

Abstract

fetched live from OpenAlex

Social inclusion is a complex and often misunderstood concept. For children with disabilities, research has documented the degree of loneliness, bullying and exclusion they often experience in their social lives. This paper presents the findings of a critical literature review on the social inclusion of children with disabilities. Study methods comprised rigorous criteria for study selection followed by established protocols for evaluating studies. Reputable rating scales were used to examine peer‐reviewed research published within the last 10 years. Fifty‐four studies were analyzed for essential themes. Findings reflect a broad range of stakeholder perspectives and factors that promote or inhibit social inclusion, including child‐specific variables as well as environmental influences. Additional research should focus on the perspectives and experiences of children in inclusive settings, particularly those with disabilities, as a means of safeguarding their future social and emotional well‐being.

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)0.018
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0270.013
Science and technology studies0.0020.004
Scholarly communication0.0050.007
Open science0.0020.003
Research integrity0.0030.003
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 head0.032
GPT teacher head0.396
Teacher spread0.364 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations103
Published2017
Admission routes2
Has abstractyes

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