Is the Progress of Children with ASD in a Behavioural Therapy Programme Influenced by Parents’ Hyper-Systemizing?
Bibliographic record
Abstract
"Background. In an attempt to find genetic explanations for the heterogeneous characteristics of autistic patients, research has shown that parents of autistic children are more likely than parents of neurotypical children to exhibit autistic-like characteristics, meeting the criteria for the so-called “broad autism phenotype” . Subclinical autistic traits have been identified in the families of children with ASD, in both fathers and mothers, but the way in which specific parental phenotypes influence the child’s pathology remains unclear. Methods. This study aimed to analyse the progress that a group of children with Autism Spectrum Disorders (ASD) have made during a behavioural therapy programme and the way their evolution has been influenced by the parents’ systemizing level. 52 participants (aged 2 to 5 years old) diagnosed with an Autism Spectrum Disorder and both of their parents were included in the study. The severity of ASD symptomatology was assessed using the ADOS-G instrument, at the beginning of the study (T0) and after one year of behavioural therapy as well (T1), while the parents’ systemizing level was evaluated using the self-report Systemizing Quotient (SQ). Results. The ADOS-G scores showed a significant improvement after one year of therapy in both Communication and Social Interaction domains. Only the fathers` systemizing level (SQF) had a significant effect on the ADOS-G scores after one year of therapy, with greater improvements reported for children having fathers with higher SQF scores. Conclusion. The significance of these findings is discussed in relation to the empathizing-systemizing (E-S) theory. We consider that it’s particularly important to continue investigating the way that specific parents’ traits, including their systemizing level or their possible broad autism phenotype, can influence the severity of their children’s ASD or the outcome of the behavioural intervention."
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".