Policing child sexual exploitation and abuse cases: a qualitative PRIORITY study of the challenges faced by law enforcement officers in Germany, Portugal, and Sweden
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
This study aimed to explore the primary challenges experienced by European law enforcement officers who deal daily with child sexual exploitation and abuse (CSEA) investigations. We conducted 6 focus group discussions with 26 criminal investigators and managers from Germany (n = 9), Portugal (n = 9), and Sweden (n = 8). Data were collected as part of the PRIORITY project, whose wider goal is to decrease the occurrence of CSEA by providing anonymous online interventions to individuals concerned about their sexual urges towards children. We employed reflexive thematic analysis at the semantic level. By adopting the Barnahus model as a theoretical lens, we generated three recurring themes and 13 related sub-themes. These overarching themes encompassed a range of organisational barriers, investigative difficulties, and systemic shortcomings and were found to extend across national borders, exhibiting both similarities and context-specific variations across the three countries. We discuss our findings in relation to the most significant policy and practice implications, within the context of the Barnahus model implementation. Additionally, our findings lay the groundwork for five empirically based recommendations aimed at enhancing the effectiveness of future law enforcement responses and prevention efforts in regard to child sexual exploitation and abuse cases at a European level.
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 | 0.001 | 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 | 0.000 |
| 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