Sexual Abuse Images in Cyberspace: Expanding the Ecology of the Child
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cyberspace has added a new dimension to the ecology of children made the subjects of sexual abuse images distributed online. These images cannot be permanently removed and can continue to circulate in cyberspace forever. A review of the current literature suggests that helping professionals are not consistently aware of or do not probe possibilities of online sexual victimization in the investigation, assessment, and treatment of child sexual abuse. Nor is this issue adequately addressed in their education and training. There are gaps in the literature regarding how to identify and provide treatment for these children. New assessment and treatment targets are needed to enhance existing practice approaches. A contemporary ecological model that incorporates an explicit consideration of the cybersystem is provided as a starting point for practitioners to be aware of the possibility that images of child sexual abuse were recorded and distributed online.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it