Factors Linked to Distress in Mothers of Children Disclosing Sexual Abuse
Bibliographic record
Abstract
The aim of the present study is to investigate the variability in clinical level of psychological distress experienced by mothers of sexually abused children by exploring the role of (a) abuse-related variables (length, severity, and identity of perpetrator), (b) a history of childhood sexual abuse and partner violence experienced in the past year, and (c) mothers' coping and feelings of empowerment. Data were collected through self-report measures completed by 149 French-speaking mothers of girls aged 4 to 12 years disclosing sexual abuse. Results revealed that more than half of the mothers reported clinical levels of psychological distress and experienced child sexual abuse, and 1 of 4 mothers experienced physical partner violence. Logistic regression analysis revealed that mother's sexual abuse and partner violence as well as avoidance coping and empowerment contributed to scores reaching clinical levels of psychological distress. In addition, mothers of child victims of intrafamilial sexual abuse are more likely to report clinical levels of distress. Results underscore the importance of evaluating for trauma history and taking coping strategies and empowerment into account in treatment 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".