Homicide and schizophrenia: maybe treatment does have a preventive effect
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Persons with schizophrenia have been found to be at increased risk for homicide as compared with the general population. The increased risk may be associated with the implementation of the policy of deinstitutionalization. METHOD: Persons with schizophrenia who had committed or attempted homicide in the German state of Hessen from 1992 to 1996 and in the Federal Republic of Germany from 1955 to 1964 were compared. RESULTS: Schizophrenia increased the risk of homicide 16.6 times (95% CI 11.2-24.5) in the recent cohort and 12.7 times (95% CI 11.2-14.3) in the older cohort. These odds ratios are not statistically different. The lack of appropriate services for chronic high-risk patients and the non-use of mental health services by first episode, acutely psychotic patients were associated with homicide. CONCLUSION: There has been no increase in the risk of homicide among persons with schizophrenia since the implementation of the policy of deinstitutionalization. The examination of the recent period suggests that the provision of specialized long-term care to persons with schizophrenia who are at high risk for violent behaviour and the use of mental health services by acutely psychotic persons may reduce the risk of homicide.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it