Child Abuse, Its Aftermath, and Criminal Recidivism in a Mixed Gender Sample of Adolescent Offenders
Bibliographic record
Abstract
The current study examines if childhood abuse increases the likelihood of criminal recidivism through four potential mediators-deviant peers, substance abuse, running away from home, and internalizing behaviours (i.e., anxiety, depression), and determine if these relationships vary across gender.To test these relationships, a prospective research design was used with 332 justice-involved youth (113 females, 219 males; ages 12-21).Official provincial recidivism data was obtained and the average follow up time was 30.43 months (SD = 4.96).Overall, substance abuse and deviant peers significantly and positively mediated the relationship between childhood abuse and criminal recidivism for males only.Internalizing behaviours and running away from home, however, were not found to mediate the relationship between child abuse and criminal recidivism for either gender.Limitations include reliance on a simplistic measure of childhood abuse.Results suggest that an integrated approach of combining genderneutral and gender-specific theories of criminal behaviour is warranted.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".