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Record W4221112476 · doi:10.1177/01454455211073741

Improving Eye Contact and Gaze Following in Children with Autism Spectrum Disorder: Systematic Withdrawal of Stimulus Prompts and Tangible Reinforcers

2022· article· en· W4221112476 on OpenAlexaff
Gabrielle T. Lee, Yuwei Tang, Sheng Xu

Bibliographic record

VenueBehavior Modification · 2022
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsWestern University
Fundersnot available
KeywordsGazePsychologyEye contactAutism spectrum disorderAutismStimulus (psychology)GeneralizationEye trackingDevelopmental psychologyEye movementSocial relationCognitive psychologyNeuroscienceSocial psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate the effects of a procedure involving systematic withdrawal of stimulus prompts and tangible reinforcers on the acquisition, maintenance, and generalization of eye contact and gaze following for two children with ASD in China. Two boys with ASD (5-6 years of age) participated. A concurrent multiple probe design across behaviors and participants was used. Results indicate that the procedure effectively established eye contact and gaze following for both children. Generalization to new instructors occurred in the free play setting, and the acquired behaviors were maintained for 1 month following training. Eye contact was maintained with social consequences for one child; the other child required tokens along with social consequences to maintain eye contact. Social consequences were sufficient to maintain gaze following for both children.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.271
Teacher spread0.255 · 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 designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

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