Juvenile Sexual Murderers: Examination and Classification of the Crime‐Commission Process
Bibliographic record
Abstract
This study aims to empirically explore the crime-commission process of juvenile sexual homicide offenders (SHOs). First, a comparison between the crime-commission process of juvenile and adult SHOs is undertaken, while as a second step, this study also provides an empirical classification specific to juvenile SHOs. The sample used in this study consists of 55 juvenile SHOs and 281 adult SHOs. A sequential binomial regression was used to compare at the multivariate level the two groups of offenders, while a latent class analysis was used to examine the relationships between each step of the crime-commission process of juvenile SHOs. Our findings suggest that the crime-commission process of juvenile SHOs present differences when compared with adult SHOs. Moreover, we identified four different patterns in juvenile sexual homicide: explosive opportunistic, sadistic, overcontrolled anger, and predator. Theoretical and practical implications in terms of criminal investigations as well as offenders' management and treatment are discussed.
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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 | 0.003 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".