Social Problem Solving in High‐risk Mother–Child Dyads: An Intergenerational Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This study examined the contribution of maternal childhood histories of aggression and social withdrawal to the prediction of mother–child social problem solving in the next generation. Fifty‐seven women (M = 37.32 years), previously rated (on a version of the pupil evaluation inventory) by their peers during childhood on measures of aggression and withdrawal, discussed conflicts with their 9‐ to 13‐year‐old children. Problem‐defining statements, solutions, and resolution strategies were coded using an observational measure developed by the authors. Maternal childhood histories of aggression and withdrawal predicted poorly sophisticated solutions in both mothers and children as well as antisocial solutions in children. Histories of withdrawal predicted solitary solutions in children as well as less guidance and structure during decision making. Findings suggest that mothers who were withdrawn, and those aggressive and withdrawn in childhood, display less sophisticated problem solving, which may be mirrored in children. Results have implications for the development of aggressive and withdrawn girls into parenthood and highlight a potential pathway for the transfer of risk.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it