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Record W4311976172 · doi:10.1177/10887679221139141

Homicide Outside the Family Sphere: Confession in Police Interrogation, Offender Motivation and Characteristics – An Exploratory Study

2022· article· en· W4311976172 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHomicide Studies · 2022
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsInterrogationConfession (law)HomicideCoronerPsychologyPoison controlCriminologyInjury preventionMedicineMedical emergencyLawPolitical science

Abstract

fetched live from OpenAlex

This study aimed to describe extrafamilial homicide offenders’ confessions in police interrogation. The Quebec Coroner’s office supplied data from 76 homicide files including coroner reports. Pearson’s Chi-squared analyses showed that the offenders were significantly different according to confession type for the method used and the antisocial, borderline, and narcissistic personality disorder traits. A two-step cluster analysis revealed three profiles: Confession—quarreler and sexual; Confession—quarreler and mental illness; No confession—quarreler and criminality. Our findings further our understanding of confessions in police interrogation by adding psychological variables and could allow investigators to refine their interrogation strategies.

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 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 score0.080
Threshold uncertainty score0.680

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 studies0.0000.000
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 head0.112
GPT teacher head0.374
Teacher spread0.262 · 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