Multidimensional Assessment of Young Male Offenders in Penal Institutions
Bibliographic record
Abstract
On the assumption of psychotherapy indication, a multidimensional assessment was carried out in a study group consisting of 103 imprisoned male offenders (mean age 20.8 years). It included a demographic and personal history inventory, psychological tests, and diagnosis according to the multiaxial classification. In addition, psychotherapy adherence was categorized, and therapy objectives were formulated. Participants showed multiple developmental risk factors and average-to-good results in language-free IQ-test scores. Furthermore, they displayed a more-pronounced negative attitude to life and higher rates of aggression toward themselves. Main ICD-10 disorders included personality and behavior disorders, substance use disorders, conduct disorders, and emotional disorders. The spectrum of psychiatric morbidity within the psychotherapy group was largely comparable with that of imprisoned and forensic populations, whereas the total prevalence was slightly higher. A quarter of the original sample failed after five test sessions to fulfill the final indication for a subsequent psychotherapeutic treatment.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".