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Record W2892407969 · doi:10.14288/1.0371171

A peer-mediated intervention for middle school students with autism spectrum disorder

2018· article· en· W2892407969 on OpenAlexaff
Thea Brain

Bibliographic record

VenuecIRcle (University of British Columbia) · 2018
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAutism spectrum disorderIntervention (counseling)AutismPsychologyPeer groupDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Youth with autism spectrum disorder (ASD) are at increased risk for social isolation and loneliness. Although students with ASD are spending more time in inclusive settings at school, research has found that simply placing a student with ASD in physical proximity to typically developing peers is not sufficient to promote social gains. This study used a non-concurrent multiple-baseline, multiple-probe across participants design to investigate the effectiveness of a low-intensity, low-cost peer-mediated intervention (PMI) on social behaviours (engagement and communicative acts) for middle-school aged students with ASD during lunch breaks at school. Nine typically developing peers received less than one hour (40-50 minutes) of peer coach training. Following training, peers were encouraged to interact with their classmate with ASD during lunch breaks at school, using the strategies taught during training. Peer coaches were provided with brief feedback after each probe observation during intervention and praise only during follow-up. Results showed a functional relation between the intervention and both engagement and communicative acts, with three demonstrations of effect across participants. There was some maintenance of effect at 1-4 weeks follow-up. Social validity of this intervention was high for both peer coaches and classroom teachers. In addition, mutual enjoyment was observed for the majority of probe observation sessions across groups. This study contributes to and extends the existing PMI research by including participants between the ages of 11-13 with varying intellectual and social-communication abilities and by delivering the intervention in natural, unstructured school settings. It is important to identify evidence-based interventions that have high social validity from the perspective of school administrators, as interventions that are effective, efficient, and cost-effective are most likely to be adopted by schools.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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 designNon-randomized trial
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
Published2018
Admission routes1
Has abstractyes

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