MétaCan
Menu
Back to cohort
Record W2155533293 · doi:10.1136/ebmh.14.2.54

For toddlers with autism spectrum disorders, supplementing a comprehensive intervention with interpersonal synchrony improves socially engaged imitation

2011· letter· en· W2155533293 on OpenAlexaff
Lonnie Zwaigenbaum, Briana Howarth

Bibliographic record

VenueEvidence-Based Mental Health · 2011
Typeletter
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsImitationAutismIntervention (counseling)Interpersonal communicationPsychologyDevelopmental psychologyCognitive psychologyCommunicationSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

### Question What is the effect of supplementing a comprehensive intervention with a curriculum targeting socially synchronous behaviour on social outcomes in toddlers with autism spectrum disorders (ASDs)? ### Patients 50 children aged 21–33 months who met Autism Diagnostic Observation Schedule criteria for ASD or autism and had received a diagnosis from a clinical specialist. Children were required to have a non-verbal mental age of 8 months, no siblings with ASD and to have no known aetiology for ASD. ### Setting One research institute (Kennedy Krieger Institute Center for Autism and Related Disorders), USA; time period not stated. ### Intervention Interpersonal synchrony (IS) versus non-interpersonal synchrony (Non-IS) for 6 months. Both conditions used the Assessment, Evaluation and Programming System for Infants and Children. Non-IS involved 10 h/week in a classroom (5:3 student-to-interventionist ratio) with instructional strategies representing a continuum of adult-imposed structure including discrete trial teaching, pivotal response training and routines-based interaction. Low-tech augmentative communication systems, visual cues and visually based organisational strategies were also used. …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.086
GPT teacher head0.337
Teacher spread0.252 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueEvidence-Based Mental HealthSame topicAutism Spectrum Disorder ResearchFrench-language works237,207