Examining the Relationships Between Childhood Exposure to Intimate Partner Violence, the Dark Tetrad of Personality, and Violence Perpetration in Adulthood
Bibliographic record
Abstract
Intimate partner violence (IPV) is a major international public health concern that poses significant mental and physical health risks for affected individuals. To improve prevention efforts, it is imperative that researchers and government bodies understand risk factors for IPV. One such risk factor concerns the extent to which violence is intergenerational, such that exposure to violence predisposes individuals to engage in violence toward intimate partners. The purpose of this research is to assess childhood exposure to violence as a risk factor for perpetration of IPV in adulthood, and to evaluate the Dark Tetrad personality traits as mediators in this relationship. We recruited 153 men and 246 women (age range = 18–73, M age = 33.50, SD age = 10.26) through Amazon’s Mechanical Turk to complete a series of questionnaires and an open-ended IPV perpetration assessment. Results showed no relationship between IPV perpetration and childhood IPV exposure, indicating that mediation analyses were not possible. Possible explanations are discussed. Follow-up exploratory analyses demonstrated that gender moderated the relationships between childhood IPV exposure and levels of Factor 1 psychopathy and Machiavellianism. Specifically, men who were exposed to IPV in childhood were more likely to develop higher levels of Factor 1 psychopathy and Machiavellianism, whereas women were not. Overall, our findings highlight the importance of providing researchers and clinicians with a greater understanding of environmental events preceding maladaptive trait development. It is also important for researchers and clinicians to consider gender differences in pathways between exposure to IPV and subsequent development of dark personality traits. Theoretical and practical implications are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".