Online solicitation offenders are different from child pornography offenders and lower risk contact sexual offenders.
Bibliographic record
Abstract
The current study compared 38 lower risk (based on actuarial risk assessments) men convicted of contact sexual offenses against children, 38 child pornography offenders, and 70 solicitation offenders (also known as luring or traveler offenders). Solicitation and child pornography offenders were better educated than contact offenders but did not differ on other sociodemographic variables. In comparison to child pornography offenders, solicitation offenders had lower capacity for relationship stability and lower levels of sex drive/preoccupation and deviant sexual preference. Solicitation offenders were also more problematic than lower risk contact offenders on sex drive/preoccupation and capacity for relationship stability and had greater self-reported use of child pornography. Differences between groups on two actuarial risk measures, the Static-99 and the VASOR, were inconsistent. This study suggests that solicitation offenders differ in meaningful ways from lower risk contact offenders and child pornography offenders and, consequently, in risk, treatment, and supervision needs.
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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 | 0.000 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".