The Relationship Between Mental Disorders and Types of Crime in Inmates in a Brazilian Prison
Bibliographic record
Abstract
This cross-sectional study conducted in prisons in the city of Salvador, Bahia, Brazil, investigated the association between the presence of psychiatric disorders in 462 prisoners and the types of crimes committed by them. Psychiatric diagnosis was obtained by means of the Brazilian Portuguese version of the Mini-International Neuropsychiatric Interview. A statistically significant association was found between some psychiatric disorders and specific groups of crime: lifelong substance addiction with sex crimes and homicide; antisocial personality disorder with robbery and with kidnapping and extortion; borderline personality disorder with sex crimes; and lifelong alcohol addiction with fraud and conspiracy and with armed robbery and murder. It was concluded that the mental disorders considered more severe (psychosis and bipolar disorder) were not associated with violent crimes, suggesting that the severity of the psychotic disorder may be the factor that has caused psychosis to be associated with violent crimes in previous studies.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".