Early exposure to violence, relationship violence, and relationship satisfaction in adolescents and emerging adults: The role of romantic attachment.
Bibliographic record
Abstract
OBJECTIVE: Violence in romantic relationships is highly prevalent in adolescence and early adulthood and is related to a wide array of negative outcomes. Although the scientific literature increasingly highlights potential risk factors for the perpetration of violence toward a romantic partner, integrative models of these predictors remain scarce. Using an attachment framework, the current study examines the associations between early exposure to violence, perpetration of relationship violence, and relationship satisfaction. We hypothesized that exposure to family violence fosters the development of attachment anxiety and avoidance, which in turn are related to relationship violence and low relationship satisfaction. METHOD: At Time 1, a sample of 1,252 (72.3% women) adolescents and emerging adults were recruited from high schools and colleges. Participants completed measures of exposure to family violence, attachment, perpetrated relationship violence and relationship adjustment. Three years later (Time 2), 234 of these participants agreed to participate in a follow-up assessment. Structural equation modeling was used to test cross-sectional and longitudinal models. RESULTS: The findings suggest that exposure to family violence predicts relationship violence both directly and indirectly through attachment anxiety, whereas attachment avoidance and relationship violence are predictors of relationship satisfaction. Longitudinal analyses also show that changes in romantic attachment are associated with changes in relationship violence and satisfaction. CONCLUSIONS: Romantic attachment is a significant target for the prevention and treatment of violence in intimate relationships involving adolescents or emerging adults. (PsycINFO Database Record
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".