S25.03 The behavioural psychopathology of blood disorders. A cross-national study
Bibliographic record
Abstract
S26. Metabolism of amino-acids and synthesis of 8-carbolines in relation to psychopathology 265s Studies to date suggest that offenders with these disorders present multiple difficulties and that in order to prevent further offending it is necessary to specifically address each of these difficulties. The present study was designed to: (1) identify the components of treatment, social services, and laws that effectively prevent crime among persons with major mental disorders; (2) to verify if different types of patients require different treatment programmes; (3) to measure the impact of varying legal powers of clinicians to enforce compliance with treatment; (4) to assess the predictive validity of the HCR-20 in determining the risk of violence; and (5) to assess the validity of hair analysis for measuring medication use and alcohol and drug consumption. In each of four sites, Canada, Finland, Germany and Sweden, two samples of patients with major mental disorders are recruited, one with and one without an official record of crime. As they enter the study, detailed historical information is collected from files and collaterals and they are intensively examined. During the next two years, they are repeatedly examined, collaterals are questioned, all the treatments and services that they receive are documented as well as criminal activities and aggressive behaviours. S25.
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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) | 0.002 | 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 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".