Conditionally Discharged Restricted Patients and the Need for Long-Term Medium Security
Bibliographic record
Abstract
In the context of a larger investigation of follow-up of a specific group of mentally disordered individuals, the study described here examined the characteristics of all 55 people conditionally discharged for the first time from a medium secure unit in the West Midlands over a 13-year period. A retrospective case note analysis was undertaken. The findings illustrate that these patients are a distinct group. They were mainly single men who had committed a grave offence. The majority had an extensive criminological history with early onset of offending and chronic mental illness. Fifty percent of those with a criminal record had received at least one custodial sentence prior to the index offence. Co-morbid substance misuse was common, as was a history of self-harm. There were high levels of previous contact with psychiatric services and compulsory in-patient treatment. Most were detained under the Mental Health Act category of mental illness. A quarter had been transferred from a special hospital prior to conditional discharge into the community. The characteristics of this sample demonstrate clearly the need for the provision of long-term medium secure facilities and allied services.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".