Social Information Processing and Reactive and Proactive Aggression among Children with ADHD
Bibliographic record
Abstract
<p>This study examined the social information processing qualities among children with reactive and proactive aggression among children with Attention Deficit Hyperactive Disorder (ADHD). It enrolled a total of 112 Saudi school children (62 boys, 50 girls; mean age = 9.26 years, SD = 1.98) of which 51 were diagnosed with ADHD and 61 typically developing peers. Data on children’s social informational processing and type of aggression displayed were gathered and analyzed for group differences by diagnosis and gender within diagnosis. Findings suggest gaps in social information processing and elevated aggression levels among children with ADHD compared to typical others. Male children with ADHD to present mostly with proactive aggression and self-serving information processing. Female ADHD were characterized by reactive aggression and selective information processing. Implicit socialization processes might explain the differences in social information processing and type of aggression among male and female students with Arabic culture background.</p><p><br /><strong></strong></p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".