Relationship between mothers' and children's attitudes with and without ADHD toward elementary school and homework
Bibliographic record
Abstract
Attitude toward school predicts performance in school. Understanding the factors influencing a child’s attitude towards school is important, especially in children with an Attention Deficit Hyperactivity Disorder (ADHD) who face difficulties at school. The relationship between children’s attitude, perceived by their mother, and their mother’s attitude toward school and homework will be examined. This study includes a group of 45 children with a diagnosis of ADHD (M = 9.42 year; 12 girls) and a group of 45 children without diagnoses (M = 9.42 year; 15 girls). The child’s perceived attitude toward school and homework was significantly associated with the mother’s attitude toward homework in both groups without (r = .46 and .78) and with ADHD (r = .43 and .58). A lower frequency of ADHD and a mother of older age distinguished children with a positive attitude toward school. The practical benefits are then discussed.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".