Child Sexual Abuse Images Online: Implications for Social Work Training and Practice
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
The phenomenon of child sexual abuse images online (CSAIO) presents new and daunting challenges for social workers who work in the field of child sexual abuse (CSA), particularly in relation to assessment and treatment approaches. This paper reports on a grounded theory study that examined the views of CSA practitioners about online abuse images. In-depth qualitative interviews were conducted with fourteen social work practitioners and other helping professionals in child protection and CSA treatment services from Ontario, Canada, to explore their perspectives about effective assessment and treatment for the children in the online images. All participants felt inadequately prepared in terms of their training and experience to effectively respond to these children, particularly regarding the perceived permanence of the abuse images distributed online and their global accessibility. Implications for social work training and practice are provided and the paper concludes with a call for the recognition of CSAIO as a new area in social work practice requiring additional research and specialised training.
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.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.016 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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 it