The Social Interaction Deficits in Autism Spectrum Disorder and Relevant Interventions
Bibliographic record
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder involved with genetic mutations. The individual's aberrant social communication and interaction and restricted repetitive behaviours are the manifestations. ASD can be diagnosed as young as age 2. ASD is classified as high functioning and low functioning disorders based on intelligence. Factors that influence ASD include "Theory of Mind" (ToM) and social Interaction, in which individuals with ASD have severe difficulty in understanding the thoughts of others, such as their emotions, feelings, beliefs, and opinions. This review is a retrospective study on social interaction impairment in ASD and the relevant interventions. This paper aims to evaluate social communication barriers and their impacts on school functioning, as well as the atypical social attention development during the early stage of ASD. The interventions are mainly divided into parent-child companionship, music therapy, video therapy, and active physical activity. There are still limitations in this review. Most of the methods quoted in the literature adopted cross-sectional designs, and the experimental techniques are relatively narrow. In addition, most intervention programs focused on the early developmental stage. More attention should be paid to the transition between developmental stages in the future. This review can provide some guidance to future intervention research and practice in the special education area for ASD.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".