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Record W4285588132 · doi:10.1177/17446295221114619

A model for fostering community capacity to support adults with intellectual disabilities who engage in challenging behaviour: A scoping review

2022· review· en· W4285588132 on OpenAlexaff
Laura Mullins, Victoria Scott

Bibliographic record

VenueJournal of Intellectual Disabilities · 2022
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsBrock University
Fundersnot available
KeywordsCoachingChallenging behaviourIntellectual disabilityPsychologyApplied psychologyService (business)Medical educationKnowledge managementMedicineComputer scienceBusinessPsychotherapist

Abstract

fetched live from OpenAlex

Developmental support agencies support many adults with intellectual disabilities in the community. Unfortunately, these adults often exhibit high rates of challenging behaviour, which present significant pressures on these service providers. Agencies need to develop effective means of increasing their capacity to provide quality support. Previous systematic reviews found that training staff in positive behaviour supports can improve outcomes; however, the factors facilitating training's effects, long-term effectiveness, and outcomes for service users have yet to be determined. We conducted a scoping review of 98 journal articles and book chapters to develop a model for fostering capacity development drawing from Organizational Behaviour Management and Knowledge Translation theories. Some relevant factors include features of the inner and outer organizational contexts, training approaches (e.g., behavioural skills training & in-situ coaching), ongoing support and feedback. This model may lead to more effective and enduring treatment programs and improved support for adults with intellectual 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 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)0.005
metaresearch head score (Gemma)0.097
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.097
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.005
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 head0.394
GPT teacher head0.421
Teacher spread0.027 · 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 designSystematic review
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

Citations3
Published2022
Admission routes1
Has abstractyes

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