Online forum use in child attracted persons
Bibliographic record
Abstract
Social support for child-attracted persons (CAPs) may be important for increasing well-being, thereby reducing the risk of committing child sexual abuse. Unfortunately, in-person social support may be difficult to obtain because of stigma. CAPs may instead turn to online forums for people who are sexually attracted to children. The present study looks at the emotional, informational, and tangible support CAPs offered and received through online forums. We recruited 353 CAPs from Twitter and multiple online forums. The survey covered basic demographics, frequency of forum use, reasons for forum use, social support received or offered, helpfulness of forums, and their quality of offline support. Most CAPs said that they initially sought out forums to avoid feeling alone in their attraction; the quality of offline support was rated as moderate. Emotional support and informational support were the most frequently endorsed forms of social support. CAPs who visited more forums reported forums to be less helpful, which could reflect “forum shopping.” A Poisson regression predicting online support from quality of offline support and various demographic and forum use variables did not reveal any significant results. This is the first quantitative study to look at the benefits of forums for CAPs regarding specific types of social support. The authors consider if certain forums, in addition to professional help, could be part of a repertoire of resources for CAPs who may be struggling.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".