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Record W2169156706 · doi:10.1177/107906320301500301

Sexual Assaults During Hostage Takings and Forcible Confinements: Implications for Practice

2003· article· en· W2169156706 on OpenAlexaboutno aff
Donna L. Mailloux, Ralph C. Serin

Bibliographic record

VenueSexual Abuse · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConvictionCriminologyHarmRelevance (law)PrisonPsychologySexual violenceSexual assaultPolitical scienceLawPoison controlSuicide preventionMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Hostage takings and forcible confinements are rare phenomena within our Canadian institutions. However, when they occur they cause enormous psychological and/or physical harm. A review of the literature revealed that no previous research on hostage takings or forcible confinements in a prison setting has been published. This investigation reviewed 33 hostage-takings/forcible-confinements spanning 11 years. The incidents were classified as follows: 20 hostage takings (3 with sexual assault) and 13 forcible confinements (7 with sexual assault). Sexual assaults were always against women and 36.6% of the women were sexually assaulted. This is a violent group of offenders with a prior history of sexual and nonsexual violence as well as escapes. While a quarter of the perpetrators had a forcible confinement or hostage taking in their current conviction, half had a prior history of such incidents. Rapists were overwhelmingly implicated in incidents that resulted in a sexual assault. Most perpetrators were below the age of 30 and serving sentences of less than 10 years in medium- or maximum-security institutions. The perpetrators of these incidents are not necessarily different from the general population of offenders in terms of their dynamic needs. Although this research is primarily descriptive in nature, it offers a unique contribution to the field by providing the first comprehensive description of this group of perpetrators. These findings are discussed in terms of their relevance to policy, operational practices, and the development of screening instruments.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.048
GPT teacher head0.368
Teacher spread0.320 · 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.

Study designNot applicable
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

Citations6
Published2003
Admission routes1
Has abstractyes

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