Relationship between prior legal involvement and current crisis for adults with intellectual disability
Bibliographic record
Abstract
BACKGROUND: Individuals with intellectual disability (ID) and legal involvement are a unique population with complex needs. To date, there has been limited research exploring the demographic and clinical profiles of individuals with ID and legal involvement that are in crisis and how they differ to individuals with ID without legal involvement. METHOD: 130 adults with ID and a history of legal involvement were compared to 617 without legal involvement who had experienced at least one crisis in terms of crisis presentation and outcome. RESULTS: Overall, those with a known history of legal involvement were younger, higher functioning and more likely to be male and living in unsupported settings. Legal history was not a significant predictor of crisis involving aggression but was a significant predictor of police response to crisis, when other variables were controlled for. CONCLUSIONS: Adults with ID and legal history may be more likely to have police respond to their crises than other individuals. Understanding the unique profiles of those with legal history can inform the development of services targeted towards offenders with ID.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".