Abuse Experiences of Family Members, Child Maltreatment, and the Development of Sex Offending Among Incarcerated Adolescent Males
Bibliographic record
Abstract
Child sexual abuse is considered a risk factor for the development of sexual offending in adolescence. Beyond this, comparisons of the risk factor profiles between adolescent sex offenders (ASOs) and adolescent non-sex offenders (ANSOs) have uncovered minimal differences. However, differences between ASOs and ANSOs in terms of patterns in the abuse histories of their family members have rarely been studied. The aim in the current study was to retrospectively examine histories of abuse among family members of ASOs compared with ANSOs to determine whether and how these were related to youth abuse experiences and sexual offending in adolescence. The current study is based on a sample of 482 incarcerated male adolescents (ASOs = 67, ANSOs = 415). Latent class analysis was conducted to determine multidimensional familial abuse profiles, and a series of logistic regression models were used to examine the relationship between family abuse profiles, youth abuse experiences, and adolescent sexual offending. Overall, familial abuse profiles were related to subsequent youth abuse experiences and sexual offending, and these abuse profiles differentiated ASOs and ANSOs.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".