Mother-Child Interpersonal Dynamics: The Influence of Maternal and Child ADHD Symptoms
Bibliographic record
Abstract
The relations between maternal and child ADHD symptoms and interpersonal behaviour were examined. Mother-child dyads (N = 59), with children 8- to 12-years-old, exhibiting a range of ADHD symptoms, participated in a problem-solving task. Participants' interpersonal behaviours (along continuums of affiliation: friendliness-hostility and control: dominance-submissiveness) were coded on a continuous moment-to-moment basis, as the interaction unfolded, using a joystick technique. Elevated ADHD symptoms, in both mothers and children, were associated with less overall affiliative interpersonal behaviour. Further, while dyads generally showed complementary behaviour, dyads in which the child had elevated ADHD symptoms demonstrated less complementarity on the affiliation dimension. Finally, the higher the child's ADHD symptoms, the less affiliative and less dominant the mother became over the course of the interaction. Findings highlight ways in which individual differences in ADHD behaviour impact interpersonal functioning and have implications for interventions aimed at enhancing parent-child relationships.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".