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Record W2127713756 · doi:10.1177/070674370805301004

Psychosis and Violence: Stories, Fears, and Reality

2008· review· en· W2127713756 on OpenAlexvenueno aff
Pamela J. Taylor

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2008
Typereview
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosisPsychologyPsychiatryCochrane LibraryPoison controlPsychological interventionSchizophrenia (object-oriented programming)Suicide preventionHuman factors and ergonomicsClinical psychologyMedicineMeta-analysisMedical emergency

Abstract

fetched live from OpenAlex

Individuals with psychosis are often feared. In fact, they are themselves likely to be victims of violence; however, the main aim of this review is to provide an overview of the evidence on relations between psychosis and violence to others. The terms psychosis and violence were used in a literature search limited to the Cochrane Library and PubMed, a manual search of 8 journals, and a follow-up of additional references in the articles found. The overview draws on new empirical data and major reviews. Almost all sound epidemiologic data on psychosis and violence dates from 1990. There is consistency on a small but significant relation between schizophrenia and violent acts. Since then there has also been movement toward understanding the nature of associations and progress on strategies for managing individuals who have psychosis and are violent. Public fears about individuals with psychotic illnesses are largely unfounded, although there would be benefit in greater attention to the safety of those in their close social circle. The task for the next 10 years must be the development and application of knowledge to improve specific treatments-that is, interventions that go beyond holding and caring to bring about substantial change.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.062
GPT teacher head0.353
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations62
Published2008
Admission routes1
Has abstractyes

Explore more

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