Neighborhood Collective Efficacy Moderates the Association between Maternal Adverse Childhood Experiences and Marital Conflict
Bibliographic record
Abstract
In a socio-demographically diverse sample of 501 caregivers participating in a longitudinal birth cohort study during the childbearing years, we examined whether neighborhood collective efficacy moderated the association between maternal adverse childhood experience (ACEs) and marital conflict. Maternal ACEs were assessed via retrospective reports. Neighborhood collective efficacy was measured via maternal and paternal reports at 2 months, and maternal reports of marital conflict were collected at infant age 2 and 18 months. Multiple linear regression analyses revealed that maternal ACEs were associated with increased marital conflict. Neighborhood collective efficacy moderated the association between early maternal ACEs and marital conflict, such that mothers experiencing ACEs had lower levels of marital conflict when exposed to high levels of neighborhood collective efficacy. Results suggest that extra-familial sources of social support and control, such as feelings of security, trust, order, and connectedness with others, may buffer the effects of early adversity on marital discord.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".