Impact of Perpetrator Type on Attributions of Mother Fault in Child Sexual Abuse
Bibliographic record
Abstract
Blaming nonoffending mothers for child sexual abuse has substantial negative consequences for both the mother and child victim. Although perpetrator type has been shown to influence how much blame and responsibility is placed on nonoffending mothers in child sexual abuse cases, research to date has focused primarily on perpetrators who are strangers to the child or the child's biological father, ignoring the effect of other father-figure perpetrators. The current study examined how differences in perpetrator's relationship to the mother impacted blame, responsibility, cause, and prevention as separate constructs. One hundred and eight participants from an online community sample were randomly assigned to read a vignette describing a child sexual abuse situation with a female victim and one of two perpetrators: the victim's biological father or the mother's boyfriend. Participants assigned significantly higher levels of fault for CSA to the mother when the perpetrator was the mother's boyfriend. Implications and future directions are discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".