Offender Mobility During the Crime: Investigating the Variability of Crime Event Contexts and Associated Outcomes in Stranger Sexual Assaults
Bibliographic record
Abstract
Using data from qualitative interviews and police reports, latent class analysis is used on a sample of 54 repeat stranger sexual offenders who committed 204 sexual assaults to identify discrete contexts present at the time of victim encounter that influence these offenders' decision to use more than one location to commit their crimes. Five distinct classes are identified: residential outdoor common area, spontaneous/quiet outdoor site, residential home, active green space, and indoor/public gathering place. An investigation into the outcome(s) that most often result from the offender's decision to move the victim during the sexual assault indicates that those who move the victim from an active green space overwhelmingly engage in sexual penetration, as well as forcing their victims to commit sexual acts on them. Crimes where the victim is moved from a residential home show evidence of the offender physically harming the victim as well as using more force than necessary to complete the assault. Implications for situational crime prevention are discussed.
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How this classification was reachedexpand
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".