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Record W2140612238 · doi:10.1352/1934-9556-51.5.360

Social Inclusion and Community Participation of Individuals with Intellectual/Developmental Disabilities

2013· review· en· W2140612238 on OpenAlexaff
Angela N. Amado, Roger J. Stancliffe, Mary McCarron, Philip McCallion

Bibliographic record

VenueIntellectual and developmental disabilities · 2013
Typereview
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsTrinity College
Fundersnot available
KeywordsInclusion (mineral)RecreationIntellectual disabilityPsychologySocial engagementSociologyPublic relationsGerontologyDevelopmental psychologySocial psychologySocial sciencePolitical scienceMedicinePsychiatry

Abstract

fetched live from OpenAlex

As more individuals with intellectual/developmental disabilities are physically included in community life, in schools, neighborhoods, jobs, recreation, and congregations, the challenge of going beyond physical inclusion to true social inclusion becomes more apparent. This article summarizes the status of the research about community participation and social inclusion, summarizes some debates and points of contention, notes emerging research issues, and highlights needed areas of research. It is clear that most research on these topics has been conducted with individuals who are in paid formal services, and there are great needs for understanding the community participation of individuals who live on their own or with their families, as well as researching social inclusion by focusing on the attitudes and experiences of community members themselves, not just individuals with disabilities and paid providers.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0020.001
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 head0.179
GPT teacher head0.404
Teacher spread0.225 · 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

Citations275
Published2013
Admission routes1
Has abstractyes

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