MétaCan
Menu
Back to cohort
Record W2057572208 · doi:10.2466/pr0.94.3c.1180-1184

Cognitive and Personality Factors Associated with Assaultive and Domestic Offenders

2004· article· en· W2057572208 on OpenAlexaff
Paul M. Valliant, Melanie de Wit, Rebecca Bowes

Bibliographic record

VenuePsychological Reports · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of SudburyLaurentian University
Fundersnot available
KeywordsHostilityPsychologyMinnesota Multiphasic Personality InventoryAggressionClinical psychologyPersonalityPoison controlInjury preventionHuman factors and ergonomicsVerbal aggressionPsychiatrySocial psychologyMedical emergencyMedicine

Abstract

fetched live from OpenAlex

An evaluation of domestic assaultive (n=46), general assaultive (n= 23) and nonassaultive (19 property offenders) groups was performed to compare cognitive (Test of Nonverbal Intelligence), personality (Minnesota Multiphasic Personality Inventory), aggression (Buss-Durkee Hostility Inventory), and criminal sentiments (Carlson Psychological Survey). Analysis showed minimal significant differences amongst the groups. A significant difference was found for the Verbal Hostility subscale of the Buss-Durkee Hostility Inventory. The domestic assaultive offenders were similar to the general assaultive and nonviolent offenders, with a greater disparity for the control group. Furthermore, a significant difference was noted for the Hypochondriasis scale of the Minnesota Multiphasic Personality Inventory. The general assaultive and control (n = 15) groups had similar scores, with the greatest difference found for nonviolent offenders who were least anxious. Discriminant analysis showed group membership could be identified for 89.1% of the domestic assaultive group.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.093
GPT teacher head0.397
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2004
Admission routes1
Has abstractyes

Explore more

Same venuePsychological ReportsSame topicIntimate Partner and Family ViolenceFrench-language works237,207