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Record W1987641904 · doi:10.2182/cjot.2011.78.3.8

Floor Time Play with a Child with Autism: A Single-Subject Study

2011· article· en· W1987641904 on OpenAlexvenueno aff
Maryse Dionne, Rose Martini

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2011
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAutismIntervention (counseling)PsychologyDevelopmental psychologyFile Transfer ProtocolSingle-subject designAffect (linguistics)Subject (documents)Applied psychologyComputer scienceCommunicationPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Children with autism exhibit difficulties with social interaction and communication skills, and they present with restricted interests and stereotyped patterns of behaviour that affect their daily lives. Floor time play (FTP) is an intervention approach that addresses these issues; however, there are few published studies on its effectiveness. PURPOSE: This study determines the effectiveness of FTP intervention with a child diagnosed with autism. METHODS: A single subject AB design was used with circles of communication as the behaviour indicator for improvement. Visual and statistical analyses were completed. The child's mother kept a daily journal describing FTP intervention sessions at home. FINDINGS: Despite variability in the data, statistical analyses indicate a significant difference between the numbers of circles of communication during the intervention phase as compared with the observation phase. Implications. This study provides preliminary evidence for the use of the FTP approach with a child with autism.

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)0.003
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.097
GPT teacher head0.310
Teacher spread0.212 · 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

Citations52
Published2011
Admission routes1
Has abstractyes

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