A phenomenological approach to violence in schizophrenia spectrum disorders: examination of anomalous self-experience
Bibliographic record
Abstract
Persons with schizophrenia spectrum disorders (SSDs) are at higher risk of becoming violent compared to the general population. Hence, obtaining a detailed account of characteristics of individuals with SSDs at high risk for committing violent acts is of high interest. A closer look on the phenomenological perspective by exploring basic self-disorders (BSDs) may help to better understand the complex interplay between schizophrenia and violence. To explore if persons with SSDs and a history of severe violence show distinct BSDs, clinical symptoms, sociodemographic data and BSDs were obtained in a sample of 33 male patients with SSDs, including 17 with a history of severe violence. Degree of BSDs were examined with the Examination of Anomalous Self-Experience (EASE). EASE-scores were compared between the two groups. The EASE composite score (degree of BSDs) was lower in SSD patients with a history of severe violence compared to non-violent SSD patients. When controlling for confounders, insight turned out to be the key factor in the relationship. The results are inconclusive regarding an association between proneness to violent behaviour and level of basic self-disorders but suggest that such associations may exist and call for further investigations.
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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".