Primary neurodevelopmental disorders in detained adolescents: point prevalence and patterns of care
Bibliographic record
Abstract
Limited information is available on the numbers and trajectories of detained young people with Neurodevelopmental Disorders (NDD) disorders. We completed a census in all types of secure establishments for young people from England. From this, we sought to find the point prevalence of Neurodevelopmental Disorders in young people in secure settings. A quarter of 1322 young people in secure care had at least one NDD; for 204 (18.5%) this was a primary diagnosis. The most common primary diagnosis was ADHD, 101 (9%), followed by 55 (5%) young people with LD and 48 (4%) with ASC. All young people with a primary NDD had had contact prior to detention with at least one of the statutory agencies. More of those with a primary NDD were moved to their current secure placement from a secure placement than those young people without. Existing community identification and support for young people with an NDD is insufficient to prevent significant numbers developing a level of challenging behaviour that requires secure provision. The large numbers of such young people, especially young men, who are detained in the YJS is a grave concern.
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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 | 0.000 | 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) | 0.000 | 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 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".