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Record W1043676834 · doi:10.1520/jfs15163j

Predicting Violent Behavior in Stalkers: A Preliminary Investigation of Canadian Cases in Criminal Harassment

2001· article· en· W1043676834 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

VenueJournal of Forensic Sciences · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicStalking, Cyberstalking, and Harassment
Canadian institutionsLaurentian University
Fundersnot available
KeywordsHarassmentPoison controlStalkingCriminologySuicide preventionInjury preventionOccupational safety and healthPsychologyHuman factors and ergonomicsMedical emergencyViolent crimePolitical scienceMedicineSocial psychologyLaw

Abstract

fetched live from OpenAlex

This study examined the factors associated with violent/aggressive behavior in stalkers using a sample of 100 Canadian cases of persons charged with criminal harassment (more commonly known as stalking). Results revealed that the typical profile of a "simple obsessional" type of stalker was a middle-aged male, single or separated/estranged, with a history of emotional and/or anger management problems. The most common initial strategies used by the victims to cope with the stalkers were oriented towards legal resources. Initial legal remedies, including court orders or police warnings, seemed to be ineffective as a strategy to stop stalking given that most stalkers chose to ignore them. The study also provided partial support for a preliminary model of predictors of violent/aggressive behavior in stalkers. Stalkers with previous violent behaviors, strong negative emotions. and obsessional tendencies toward the victim may be most at risk of future violent and aggressive acts.

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)0.003
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 score0.347
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.076
GPT teacher head0.338
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