Why didn’t you resist? Situational influences on victim resistance during a rape
Bibliographic record
Abstract
The purpose of this study is to examine factors influencing victim resistance during rape. Specifically, this study aims to understand which factors impact victim resistance using a multivariate approach focused on situational aspects related to offender, victim, and crime context characteristics. The sample includes 2,017 rape cases where victims did not resist, resisted passively, resisted verbally, or resisted physically. The first step of this study uses bivariate analyses to examine the relationship between the different categories of victim resistance and offender, victim, and crime context characteristics. Second, we computed three sequential binomial regressions in order to better understand the impact of each variable in multivariate modeling. The findings suggest that victim resistance is impacted by three main dimensions: victims’ physical and psychological vulnerabilities, the mentalizing of victimization risk, and the analysis of offenders’ vulnerabilities and additional risks to the victim. Both theoretical and practical implications for victims as well as for various actors in the criminal justice system are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".