Technology-Facilitated Sexual Violence: Prevalence, Risk, and Resiliency in Undergraduate Students
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.
Bibliographic record
Abstract
Technology-Facilitated Sexual Violence (TFSV) is an understudied but prevalent phenomenon with initial research investigations demonstrating significant adverse consequences. TFSV is defined by unwanted sexual behaviors communicated and transmitted through digital means, which can include online/digital harassment, coercive sex-based communications, and sexuality-based harassment. The purpose of this study was threefold: (1) to examine prevalence rates of TFSV in males and females; (2) to assess the psychological symptoms associated with TFSV, and (3) to identify factors that could mitigate any negative psychological effects following TFSV victimization. Results indicated that overall prevalence rates of TFSV self-identifying victims in Canadian undergraduate students were 84.3%. Females were at increased risk of victimization, with prevalence rates as high as 87.9% and males reporting 74.3% as per the TFSV-V. Furthermore, self-identifying victims of TFSV tended to have lower levels of self-esteem and perceived control, and higher levels of depressive symptoms compared to those without TFSV experience. Regression analysis revealed that self-esteem, social support, and perceived control moderated the relationship between TFSV victimization and depressive symptoms. Limitations of the study and suggestions for further research investigating the impact of TFSV are discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it