Childhood physical abuse and dating violence: The role of attachment security and personality symptoms
Bibliographic record
Abstract
Dating violence (DV) is a common experience among college-age Canadians, affecting between one quarter and one third of both men and women. A significant predictor of DV perpetration and victimization is childhood physical abuse (CPA). While there is evidence of an intergenerational transmission of violence from CPA to both victimization and perpetration of DV in young adulthood, there remain gaps in our understanding of what factors influence these relationships throughout an individual’s development. Using survey data collected from a convenience sample of 660 University of Manitoba students, this study analyzed the strength of a model of violence development from CPA to DV including the mediating effects of personality symptoms and attachment security. The current study suggested partial support for theoretical frameworks that have been applied to the understanding of the relationship between CPA and DV, namely social learning theory, the criminological framework, and attachment based theories. CPA was correlated with DV perpetration and victimization. However, in multivariate analyses, witnessing interparental violence, rather than experiencing CPA, was a direct predictor of DV perpetration and victimization. CPA predicted DV indirectly through witnessing interparental violence. More severe dating violence items were significantly predicted by other variables in the model. Antisocial personality symptoms increased odds of severe DV perpetration and victimization while borderline personality symptoms increased odds of severe DV victimization. Attachment insecurity had the strongest impact on dating violence perpetration in the female subsample. These findings, suggesting a number of distinct pathways in the intergenerational transmission of violence, should be further tested in larger and more diverse samples. It would be beneficial to include additional risk and protective variables in future research in order to understand what impacts each distinct pathway to dating violence, under what circumstances, as well as the influence of these variables at different points in individuals’ development. This research is valuable for understanding the impact of childhood abuse on young adult attachment, personality, and dating violence. Further, it is hoped that this research will be helpful for establishing appropriate and comprehensive DV interventions which take into account mediating influences from the intergenerational transmission of violence.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".