The Effect of Autism Degree on Children’s Verbal Communication Ability: The Mediating Role of Cognitive Function
Bibliographic record
Abstract
This study focused on the role that cognitive function had in the variation in verbal communication skills among 200 children, aged 3-6, from Fuzhou kindergartens and autism intervention centers. Autism symptom severity was measured by the Childhood Autism Rating Scale, the children were classified into four groups: normal children (n=80); Low-functioning autistic children (n=60); High-functioning autistic children(n=30); children with Asperger syndrome (n=30). By using the Montreal Cognitive Assessment Scale and Language Impairment Assessment Scale to assess the cognitive ability and verbal communication development level of young children, perform correlation analysis using SPSS. Through research, it can be found that the degree of autism in children with autism plays an indirect role in the influence of their oral ability, and cognitive ability plays a mediating role in this relationship. Language learning is one of the most crucial aspects of an individuals life development and growth. Children with autism, on the other hand, must have different learning methods and routines. Further recommendations and suggestions are discussed in this study.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".