A Trio of Risk Factors for Childhood Sexual Abuse: Investigating Exposure to Parental Domestic Violence, Parental Addiction, and Parental Mental Illness as Correlates of Childhood Sexual Abuse
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Targeted screening for sexual abuse is needed for social workers to accurately identify those at risk. Drawing on a cumulative disadvantage framework, this study investigates how parental addictions, parental mental illness, and exposure to domestic violence, both individually and cumulatively, are associated with childhood sexual abuse (CSA). Two waves of regionally representative data were analyzed. Bivariate and logistic regression analyses were conducted using the 2010 Brief Risk Factor Surveillance Survey (BRFSS) (n = 9,241 men, n = 13,627 women) and replicated using the 2012 BRFSS (n = 11,656 men, n = 18,145 women). The 2010 data indicated that 8.5 percent of men who had endured all three childhood adversities reported that they had experienced CSA, compared with 0.6 percent of men who did not experience any of these adversities. Levels of CSA for women in 2010 were 28.7 percent for those experiencing all three risk indicators, and 2.1 percent for women with no risk indicators. Results were similar in the BRFSS 2012. Those with two or more risk factors had between five- and eightfold higher odds of CSA. Social workers may be able to decrease false positives if they screen for CSA based on the presence of two or more risk factors.
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.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it