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Record W2127990594 · doi:10.3109/13668250.2010.544034

Meta-analysis of deinstitutionalisation adaptive behaviour outcomes: Research and clinical implications

2011· review· en· W2127990594 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Intellectual & Developmental Disability · 2011
Typereview
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsBrock University
Fundersnot available
KeywordsMeta-analysisPsychologySample size determinationIntellectual disabilityMeta-regressionSample (material)Regression analysisGerontologyMedicinePsychiatryStatistics

Abstract

fetched live from OpenAlex

BACKGROUND: A meta-analysis examined the effects of deinstitutionalisation on adaptive behaviour outcomes in persons with intellectual disability. The need for an updated review in this area is reflected by recent policy shifts in community care practices and the international status of deinstitutionalisation efforts. METHOD: Twenty-three studies were compared using standardised mean effect sizes across 5 demographic, 4 methodological, and 1 outcome variable. RESULTS: Moderate habilitative gains were found in 75% of adaptive behaviour domains. A weighted linear multiple regression revealed that larger effect sizes were significantly predicted by sample size and research design. Disability level also moderated the extent to which sample size affected the magnitude of effect sizes. CONCLUSIONS: These results are discussed in relation to the implications they have for community services for persons with intellectual disability. The difficulties in accurately comparing studies with dissimilar procedures and contexts are also outlined.

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.

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)0.008
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.245
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0010.003
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.730
GPT teacher head0.561
Teacher spread0.169 · 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