The interactive effect of marital conflict and stress reactivity on externalizing and internalizing symptoms: The role of laboratory stressors
Bibliographic record
Abstract
Growing evidence supports the biological sensitivity to context theory, which posits that physiologically reactive children, as indexed by autonomic nervous system (ANS) reactivity to laboratory stressors, are more susceptible to both negative and positive environmental influences than their low reactive peers. High biological sensitivity is a risk factor for behavioral and health problems in the context of high adversity, whereas in contexts of low adversity it has been found to promote positive adaptation. However, several studies have shown the opposite effect, finding that children who exhibited high ANS reactivity in response to interpersonal stressors were buffered from the deleterious effects of marital conflict, whereas children who showed low ANS reactivity were more vulnerable to high levels of marital conflict. Using an ethnically diverse sample of 260 kindergartners (130 girls, 130 boys), the current study investigated whether the interaction effect of marital conflict and the two branches of ANS reactivity on children's externalizing and internalizing symptoms differs with the nature of the laboratory challenge task used to measure children's stress response. As hypothesized, results indicate that the interaction between ANS reactivity and marital conflict significantly predicted children's behavior problems, but the direction of the effect varied with the nature of the challenge task (i.e., interpersonal or cognitive). This study illustrates the importance of considering the effect of laboratory stimuli when assessing whether children's ANS reactivity moderates the effects of adversity exposure on adaptation.
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".