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Record W2093600241 · doi:10.1007/s10979-008-9149-5

Psychopathy and stalking.

2008· article· en· W2093600241 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.

Bibliographic record

VenueLaw and Human Behavior · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicStalking, Cyberstalking, and Harassment
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsStalkingPsychopathyPsychologyPsychopathy ChecklistChecklistClinical psychologyPoison controlInjury preventionSocial psychologyPsychiatryAntisocial personality disorderPersonalityMedicineMedical emergency

Abstract

fetched live from OpenAlex

We examined the association between psychopathy, assessed using the Hare Psychopathy Checklist-Revised: Screening Version (Hart et al., Manual for the psychopathy checklist screening version (PCL:SV), 1995), and stalking in 61 men convicted of stalking-related offenses. Psychopathic symptoms were rare, but their presence-especially that of affective deficit symptoms-was associated with victimization of casual acquaintances and with several risk factors from the Guidelines for Stalking Assessment and Management (SAM) (Kropp et al., Guidelines for stalking assessment and management, 2008a), including stalking in violation of supervision orders, degree of preoccupation with victims, and targeting of victims with limited access to external resources. The findings suggest that in spite of their rarity, psychopathic traits may be important in the assessment and management of stalking risk.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.042
GPT teacher head0.330
Teacher spread0.288 · 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