Pathways in the offending process of sex offenders who target marginalised victims
Bibliographic record
Abstract
Abstract Prior literature shows that although marginalised populations are at a high risk of severe violence and homicide, research has focused on their offenders as if they constituted a homogeneous group. On the basis of a sample of 213 sex offenders who targeted marginalised individuals (i.e., sex trade worker, homeless individual, and severe drug user), we investigate the different pathways that these offenders take both prior to and during the commission of their crimes. Results of 2‐step cluster analysis regarding the offender's development, criminal history, crime context, and modus operandi revealed 3 distinct pathways of the offending process. The coercive pathway was characterised by the amount of violence used against the victim. The explosive pathway was defined by offenders who were in a state of rage at the time of the offence. Finally, offenders in the situational pathway committed their crimes out of opportunity and used very little violence. Differences between pathways were investigated with regard to characteristics of the index offence.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".