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A Developing World Perspective on Homicide and Mental Disorder: An Eighteen-Year Retrospective Study (1980–1998) at Jos, Nigeria

2004· article· en· W2061786467 on OpenAlexaff
Larry Nanjul Ayuba, Moses David Audu, AliRuth Choji, Mansfield Mela

Bibliographic record

VenueInternational Journal of Forensic Mental Health · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHomicidePsychiatrySchizophrenia (object-oriented programming)PsychologyAntisocial personality disorderMedicineForensic psychiatryPerspective (graphical)Clinical psychologyInjury preventionPoison controlMedical emergency

Abstract

fetched live from OpenAlex

We examined the association between mental disorder and homicide in a developing country. Specifically, we studied culpable homicide offenders referred for psychiatric evaluation in Northern Nigeria, including their psychiatric diagnoses and their relationship with victims. A semi-structured questionnaire was used to collect forensic, demographic, and clinical information from 12,500 patients who underwent court-ordered psychiatric evaluations at the Jos University Teaching Hospital. Of all patients evaluated at the hospital, 1.3% had committed a homicide. Schizophrenia was the most common diagnosis among homicide offenders; there were relatively low rates of antisocial personality disorder and substance dependence. Most offenders knew their victims. The mean duration of time between arrest and psychiatric assessment was 24 months, with a range between 6 to 192 months. We discuss the implications of these findings with respect to motivations for homicide, the evaluation of offenders, and the need for treatment and follow-up of patients.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.348
Teacher spread0.331 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2004
Admission routes1
Has abstractyes

Explore more

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