Analysis of Gait Patterns in Individuals with Autism Spectrum Disorder After Recreational Therapy Program at Eskisehir Technical University
Bibliographic record
Abstract
The aim of the present study was to investigate the effects of adapted recreational therapy program on gait patterns of children with autism. The current study included twenty-one autistic boys aged between 8 and 15 years. The scores of the children with Autism spectrum disorder (ASD) according to the “Gilliam Autism Rating Scale-2-Turkish Version” (autism level) ranged between 62 and 123. The gait analyses of the participants were evaluated with the results of total distance, average velocity, average horizontal force and average vertical force before and after recreational therapy program. The recreational therapy program was performed throughout 12 weeks, two sessions per a week and one hour per session as the one-to-one training format. The program covered several gross motor skills such as balance, toys ball, jump, jogging to increase cardiorespiratory endurance, and several branches of the basic sports skills such as basketball, badminton, and soccer. Pearson Correlation analysis was performed in order to determine the correlation between autism level and gait parameters. A negatively significant correlation was found between autism level and average velocity (r=-.553**, p
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".