Heroin-Assisted Treatment as a treatment of criminal behaviour?
Bibliographic record
Abstract
Background: TADAM, a randomised controlled trial of heroin-assisted treatment, will begin in Liège, Belgium, in 2010. This trial will compare two groups of patients: one in a heroin-assisted treatment and the other in oral methadone treatment. In this new medical treatment, the criminal behaviour of the patients will also be assessed. It is one of the three efficacy criteria. Why? Methodology: We based our presentation on papers published on heroin-assisted treatment concerning changes in criminal behaviour. Results: Heroin-assisted treatment of treatment resistant heroin addicts has been successfully tested in six countries: Switzerland, The Netherlands, Spain, Germany, Canada and United-Kingdom. Each country has also assessed the criminal behaviour before and after the treatment with better results for heroin-assisted treatment than for methadone treatment. Conclusion: HAT seems a good way to treat criminal behaviour of a group: severely heroin addicts who already tried other treatments.
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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 | 0.000 | 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 | 0.000 |
| 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 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".