Implicit sexual interest in children: does separating gender influence discrimination when using the Implicit Association Test?
Bibliographic record
Abstract
The current study examined the discriminative and convergent validity of three Implicit Association Test (IAT) measures designed to assess sexual interest in girls, in boys or in children. Sex offenders against children (n =29) did not differ from non-sex offenders (n=28) on these IAT measures. The IAT measures were related to a physiological measure of sexual interest in children, but not to a file-based measure of sexual interest in children or the sexual preference item of the STABLE-2007. The relationship between the IAT measures and risk scales designed to predict sexual recidivism was counter-intuitive. Greater sexual interest in boys, as assessed by the IAT measure, was related to lower risk of sexual recidivism. The current study did not provide compelling evidence for the validity of IAT measures designed to assess sexual interest in children. A better understanding of construct validity of IAT measures is needed before their use in the assessment and management of sexual offenders against children.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".