Cyber-Sexual Violence And Negative Emotional States Among Women In A Canadian University
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
<em>Cyber-sexual violence refers to a form of harmful sexually aggressive behaviors committed with the facilitation of digital technologies. Such harmful behaviors can include non-consensual pornography and other image-based sexual exploitation, online sexual harassment, cyber-stalking, online gender-based hate speech, and the use of a carriage service to arrange/attempt to arrange a victim</em><em>’</em><em>s sexual assault. This article examines the cyber-sexual violence experiences reported by a sample of women on university campuses in </em><em>Ontario</em><em>, </em><em>Canada</em><em>. Specifically, this study documented the types and forms of cyber-sexual violence that female university students have experienced, whether they disclosed the incidents and their association with negative health emotional states. This study provided evidence indicating that experiences of cyber-sexual violence are associated with symptoms of depression, anxiety, stress, and posttraumatic reactions, regardless of individuals</em><em>’</em><em> disclosure experiences. In light of these findings it is crucial that service providers and legislative initiative begin to adapt to the changing technological nature of crimes against women.</em>
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.005 | 0.001 |
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