Family shapes child development: The role of codevelopmental trajectories of interparental conflict and emotional warmth for children’s longitudinal development of internalizing and externalizing problems
Bibliographic record
Abstract
Abstract This study aimed (1) to identify distinct family trajectory profiles of destructive interparental conflict and parent-child emotional warmth reported by one parent, and (2) to examine whether these codevelopmental profiles were associated with the longitudinal development of children and adolescents’ self-reported internalizing and externalizing problems. Six longitudinal data waves from the German Family Panel (pairfam) study (Waves 2–7) from 722 parent-child dyads were used (age of children and adolescents in years: M = 10.03, SD = 1.90, range = 8–15; 48.3% girls; 73.3% of parents were native Germans). Data were analyzed using growth mixture and latent growth curve modeling. Two classes, harmonious and conflictual-warm families, were found based on codevelopmental trajectories of interparental conflict and emotional warmth. These family profiles were linked with the development of externalizing problems in children and adolescents but not their internalizing problems. Family dynamics are entangled in complex ways and constantly changing, which appears relevant to children’s behavior problems.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".