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Record W2080741376 · doi:10.1080/0164212x.2012.679533

The Role for Occupational Therapists in Community Mobility Training for People With Autism Spectrum Disorders

2012· article· en· W2080741376 on OpenAlexaff
Pat Precin, Marisa Otto, Khatra Popalzai, Mary Samuel

Bibliographic record

VenueOccupational Therapy in Mental Health · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsNew York Institute of Technology
Fundersnot available
KeywordsAutismPsychologyTraining (meteorology)Occupational therapyIndependence (probability theory)PsychiatryClinical psychology

Abstract

fetched live from OpenAlex

Symptoms and behaviors of Autism Spectrum Disorders can challenge community mobility, thus hindering independence and participation in occupation. Community mobility, also called travel training, helps people make journeys safely using public transportation, enabling engagement in activities/services otherwise unavailable. Yet, few articles have been written about this topic for people with Autism Spectrum Disorders. The purpose of the authors in this article is to: (1) explain the need for travel training with people diagnosed with Autism Spectrum Disorders; (2) describe specific travel training assessments; (3) review literature on travel training programs; and (4) define a role for occupational therapy in travel training with individuals diagnosed with Autism Spectrum Disorders.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.060
GPT teacher head0.392
Teacher spread0.332 · 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 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

Citations17
Published2012
Admission routes1
Has abstractyes

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