What Does It Mean to Be a Young African Woman on a University Campus in Times of Sexual Violence? A New Moment, a New Conversation
Bibliographic record
Abstract
Sexual violence in the higher education is an epidemic of global proportions. Scholars conclude that the individual and collective silence that surrounds such violence enables its perpetration and that violence will only be eradicated when we break this silence. In this paper, we used two participatory visual methods (PVM), collage and storytelling, to explore what sexual violence at university looks like and what it means to woman students. Two groups of student teachers in two South African universities were engaged in collage and storytelling workshops in late 2017 and early 2018, respectively. We thematically analyzed the issues that emerged from the data, drawing on transformative learning theory to explore how our approach might help women students to break the silence around sexual violence and stimulate critical dialogue to address it. Our analysis suggests that these visual tools enabled deep reflections on the meaning and impact of sexual violence, particularly for women. In addition, the participatory process supported introspection about their experiences of sexual violence and their responses to it as bystanders in and around campus. More importantly, they discussed how they, as young women, might break the silence and sustain new conversations about gender and gender equality in institutions and beyond.
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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 | 0.000 | 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 | 0.001 |
| 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".