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Record W2513057223 · doi:10.1177/1524838016663934

The Effect of Victim Resistance on Rape Completion: A Meta-Analysis

2016· review· en· W2513057223 on OpenAlex
Jennifer S. Wong, Samantha Balemba

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

VenueTrauma Violence & Abuse · 2016
Typereview
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsResistance (ecology)Poison controlPsychologyHuman factors and ergonomicsInjury preventionSuicide preventionMeta-analysisOccupational safety and healthSexual assaultNarrativeCriminologySocial psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

When confronted with a sexual attacker, women are often extremely concerned with avoiding rape completion. While narrative reviews typically suggest that the victim resistance is linked to rape avoidance, much of the existing literature relies on overlapping samples from the National Crime Victimization Survey. The current meta-analysis examines whether victim resistance is related to a greater likelihood of avoiding rape completion. Results from a systematic literature search across 25 databases supplemented by a search of the gray literature resulted in 4,581 hits of which seven studies met eligibility criteria for the review. Findings suggest that women who resist their attacker are significantly more likely than nonresisters to avoid rape completion. This finding held across analyses for physical resistance, verbal resistance, or resistance of any kind. Limitations of the analysis and policy implications are discussed, with particular focus on other research findings that resistance may be linked to greater victim injury.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.914
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.122
GPT teacher head0.416
Teacher spread0.294 · 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