Beyond Power and Control: Towards an Understanding of Partner Abusive Men
Bibliographic record
Abstract
It is well known that children exposed to interparental aggression have serious adverse consequences both in childhood and in their adult intimate relationships. These include a host of emotional and behavioral problems, as well as an increased risk of perpetration, especially for males, in adulthood. However, with the exception of exposure to violence in the family of origin, developmental variables have generally escaped empirical scrutiny. This investigation explored the early childhood experiences of partner abusive men, with an emphasis on post-traumatic stress disorder and oppositional-defiant disorder. The results show that both were significantly associated with the severity and frequency of partner abuse. The findings confirmed the well- established relationship between growing up in a violent home and future perpetration but also suggested the importance of defects in the parentchild bond to the development of intimate partner violence. Batterers received significantly less love, and more punishment from their mothers, and less attention from their fathers, than did men in a general population comparison group. These results reinforce the importance of childhood experiences in the etiology of relationship aggression and also encourage us that early risk markers can be identified. This is an important preliminary step in the development of preventive interventions.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.029 |
| Scholarly communication | 0.008 | 0.018 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| 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".