The Role of Gender Dynamics in the Relationship between Parental Maltreatment and Juvenile Theft in South Korea
Bibliographic record
Abstract
Juvenile theft is the leading crime among adolescents in Korea and is a serious social concern. The present study is an examination of youth theft in the framework of general strain theory, which asserts that criminal behavior occurs as a response to various strains, such as parental abuse and neglect. To test the role of parent-youth gender dynamics in the relationship between parental strain and youth theft, the current study analyzed a community-based sample of youth offenders and non-offenders in Korea (N = 374) using multivariate logistic regression models with interaction terms. Paternal physical abuse and maternal neglect predicted greater youth involvement in theft behavior. Regarding parent-youth gender dynamics, there was no difference in the role of maternal or paternal maltreatment in predicting theft behavior in sons or daughters. The exception was fathers’ neglect, in which daughters showed higher odds of theft engagement than did sons who experienced even greater paternal neglect. The findings underscored the distinct and detrimental role of parental maltreatment in adolescent theft. The results supported the need to reach out to parents in consideration of the youth’s gender and provided important implications for guiding current social services in preventing juvenile theft in Korea.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".