Sex Differences in Stigma Reduction toward Minor Attracted Persons (MAPs) via Contact Interventions
Bibliographic record
Abstract
Individuals who are sexually attracted to children (i.e., people with pedophilic interests or minor-attracted persons; MAPs) can, and do, live offence-free. Stigmatization and fear of conviction, however, can prevent MAPs from accessing appropriate support and treatment. Previous researchers compared the impact of two interventions – narrative humanization vs. scientific information-in reducing stigma towards people with pedophilic interests and found the former to be more effective. Using freely available secondary data, the present study replicated and extend this previous research by directly examining sex differences on impact of the two interventions. As predicted, females (vs. males) held more negative and stigmatic attitudes towards sex offenders at baseline and, while both interventions showed a positive impact on these negative attitudes, the impact was greater for females. Results are discussed in terms of reducing stigma regarding MAPs by positioning the issue in the public health domain by educating mental health professionals via contact interventions as a means of better protecting children and preventing child sexual abuse.
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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 | 0.001 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".