Bibliographic record
Abstract
This study aims to investigate the impact of a selected exercise course on visual perception of children with high performance Autism spectrum disorders.The present study is applied in terms of purpose and was done as a quasi-experimental study.The statistical population of this study were the clienteles with Autism spectrum disorders in Autism society of Shiraz with age domain between 9 to 12 years old who did not have any certain physical and visual problem and did not have any severe chemotherapy and was not able to attend exercise sections, then the subjects were randomly divided into two groups (12 people for selected exercise and 12 people for control group) and after that Raven TVPS (Test of Visual Perceptual Skills) and GARS (Gilliam Autism Rating Scale) tests were done a week before main test and (one week) after the last exercise section, the mentioned tests were given again (posttest).For analyzing data, ANOVA (One-way Analysis of Variance) and Tukey tests were used applying SPSS software (version 16) at 0.05 confidence level.The results showed that a selected exercise course impacts on children visual perception (visual detection, visual acuity, visual-spatial relation, visual formation stability, sequential visual acuity, visual base formation, children visual perfection), so selected trainings can influence on visual perception of children with high performance Autism spectrum disorders.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.814 | 0.666 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".