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Record W3199346537 · doi:10.5281/zenodo.4958957

Improving Upper Extremity Motor Control in Adults with Autism Spectrum Disorder and an Intellectual Disability Through Participation in an Adapted Physical Exercise Intervention

2021· article· en· W3199346537 on OpenAlexaff
Stephen R. Bested, Kelly Carr, Chad A. Sutherland, Sean Horton, Nadia R. Azar

Bibliographic record

VenueResearchOnline@ND (The University of Notre Dame) · 2021
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAutism spectrum disorderIntervention (counseling)Physical medicine and rehabilitationPsychologyAutismPhysical therapyControl (management)Developmental psychologyPsychiatryMedicineComputer science

Abstract

fetched live from OpenAlex

<em>This study sought to quantify the impact of a 12-week adapted physical exercise (APEX) program on upper extremity motor control in 11 adults diagnosed with both autism spectrum disorder and an intellectual disability (ASD-ID). Motor planning and execution during an upper-limb reaching movement was assessed at baseline, mid-, and post-program. Overall, participants became more efficient at preparing and executing the task, needing fewer adjustments during the movement to achieve similar accuracy. Eight participants also improved their response programming. </em><em>The multi-modal APEX program appears to be an effective intervention for improving upper extremity motor control in adults with ASD-ID. Improving motor skills may lead to increased participation in physical activity, greater independence, and improved quality of life for adults with ASD-ID. </em>

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.673

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 studies0.0000.000
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 head0.016
GPT teacher head0.299
Teacher spread0.282 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

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