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Record W2079720393 · doi:10.2182/cjot.2010.77.2.7

Weighted Vests' Effect on Social Attention for Toddlers with Autism Spectrum Disorders

2010· article· en· W2079720393 on OpenAlexaffvenue
Shirley Leew, Nicole G. Stein, W. Ben Gibbard

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2010
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsAlberta Children's HospitalUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsPsychologyAutism spectrum disorderIntervention (counseling)AutismJoint attentionMultiple baseline designDevelopmental psychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: There is limited research validating the use of weighted vests for problem behaviours/social attention in toddlers with autism spectrum disorders (ASD) although vests are commonly used in early intervention to improve attention. PURPOSE: The effect of weighted vests on competing behaviours and joint attention (a pivotal skill for development and a core deficit for toddlers with ASD) in semistructured play with their mothers was investigated. METHODS: A multiple baseline design that included generalization probes to provide evidence of treatment effects across adult female play partners. Unambiguous definitions were created for competing behaviours and joint attention resulting in good inter-observer reliability. Mothers' morale was measured pre- and post-intervention. FINDINGS: There were no replicated effects of vests on competing behaviours or joint attention. Mothers experienced increased morale in spite of null effects of the intervention. IMPLICATIONS: The findings suggest needed re-evaluation of the use of weighted vests with toddlers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.769
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.353
Teacher spread0.290 · 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.

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

Citations34
Published2010
Admission routes2
Has abstractyes

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