Marital Conflict and Children's Emotions: The Development of an Anger Organization
Bibliographic record
Abstract
The aim of this study was to examine the relationship between anger‐based marital conflict and the development of an anger organization in children between the ages of 4 and 8 years old. Anger organization was defined as an adversarial approach to relationships demonstrated through (a) short‐term anger expressions during social interaction and (b) aggression in relationships. Seventy‐one children from diverse socioeconomic backgrounds, their mothers, and their teachers participated in the study. Mothers completed questionnaires on anger‐based marital conflict and on children's aggression. Sociometric ratings of anger and aggression were obtained from peers. Teachers supplied reports of children's aggression. Children's short‐term emotional expression and the circumstances that elicited emotions were observed during peer interaction. Anger‐based marital conflict was found to be strongly associated with peer, maternal, and teacher reports of aggression, but not with reports of internalizing symptomatology. Anger‐based marital conflict was also associated with short‐term anger expressions, but not with short‐term expressions of sadness. I argue that children develop an emotional organization in which anger predominates when they are exposed to high levels of anger‐based marital conflict.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".