MétaCan
Menu
Back to cohort
Record W4323360207 · doi:10.1080/07418825.2023.2184713

Understanding the Sexual Victimization of Child and Elder Victims under the Lens of Interactional Victimology: A Routine Activities Theory Approach

2023· article· en· W4323360207 on OpenAlexaff
Julien Chopin, Éric Beauregard

Bibliographic record

VenueJustice Quarterly · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversité LavalUniversité de MontréalSimon Fraser University
Fundersnot available
KeywordsPsychologyVulnerability (computing)Developmental psychologyBivariate analysisVictimologyHuman factors and ergonomicsPoison controlCriminologySexual abuseSocial psychologyMedicineMedical emergencyComputer security

Abstract

fetched live from OpenAlex

This study aims to further our understanding of sexual victimization using the routine activities theory (RAT) framework. Specifically, this study compared offenders’ motivations as well as victims’ vulnerability, inertia, gratifiability, and accessibility in elder, child, and younger adult victims. The sample used in this study consists of 931 cases of extrafamilial sexual assaults that occurred in France. Bivariate and multivariate analyses were performed to examine the differences between the cases involving child (n = 193), adult (n = 500), and elder victims (n = 238). First, findings indicate that offenders do not present different motivations depending on the type of victim. Second, analyses suggest that child and elder victims presented similar patterns of suitability in comparison to adult victims. Finally, results show that for both child and elder victims, accessibility represents a major obstacle but manifested differently. Theoretical and practical implications as well as directions for future research are discussed.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.001
Science and technology studies0.0020.009
Scholarly communication0.0060.006
Open science0.0010.004
Research integrity0.0010.001
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 head0.076
GPT teacher head0.326
Teacher spread0.249 · 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 designQualitative
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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJustice QuarterlySame topicSexual Assault and Victimization StudiesFrench-language works237,207