Selective and Sustained Attention as Predictors of Social Problems in Children With Typical and Disordered Attention Abilities
Bibliographic record
Abstract
OBJECTIVE: Investigated the relationship between selective and sustained attention and social behavior in children with different degrees of attentional disturbance. METHOD: Participants were 101 6- to 12-year-old children, including 18 who were diagnosed with Attention Deficit Hyperactivity Disorder (AD/HD), 61 who were clinically referred for attentional difficulties but did not meet criteria for ADHD, and 22 typically developing children. Two groups of children completed either a sustained attention task or a selective attention task. Task performance was compared with teacher reported social behavior. RESULTS: In support of the investigator's hypothesis poor performance on the sustained attention task correlated with social behavior problems. However, contrary to expectation, poor performance on the selective attention task was not correlated with teacher reported social problems. Results are discussed with specific emphasis on the need to identify underlying cognitive contributions to social dysfunction. CONCLUSION: The findings support a growing body of research highlighting the negative relationship between inattention and social functioning.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".