Truth about Rape Myths: Understanding the Effects of Sexual Violence and Date Rape Attitudes on Rape Myths Acceptance in Ghana
Bibliographic record
Abstract
Purpose: Rape myths acceptance is a global phenomenon with dire consequences on how sexual assault victims are perceived and treated. People who hold strong sexual violence beliefs tend to blame the victims for their victimizations while praising the offenders. It has widely been acknowledged that such attitudes hinder crime reporting while promoting violence in society. The main purpose of the current study was to examine the factors that influence rape myths acceptance among students in Ghana. Method: Data for the study was collected from students attending one of the largest universities in the country between 2021 and 2022. Results: Our results revealed that sexual violence experience, college date rape attitudes, age, degree program, and ethnicity influenced rape myths acceptance among students. Conclusion: Based on the findings, we recommend that colleges should create a conducive environment for victims of sexual violence whereby educating students about the harmful effects of rape myths acceptance.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".