Postdigital Bystanding: Youth Experiences of Sexual Violence Workshops in Schools in England, Ireland, and Canada
Bibliographic record
Abstract
In this paper, we report on creative- and arts-based sexual violence and bystander intervention workshops we developed and researched in England, Ireland, and Canada, through evaluation surveys, observations, and focus group interviews with nearly 1200 young people (aged 13-18). Whist the young people generally reported benefitting from the intervention, in the context of increasing use of digital technologies amongst youth, we explore the context-specific challenges they faced in learning about and being supported through bystander strategies across a wide range of diverse school spaces. We use the term postdigital bystanding to explicitly explore how teen's digital networks are often connected to the school-based 'real life' peer group, in ways that complicate clear distinctions between online and offline, arguing that these postdigital dynamics have not yet been adequately considered in bystanding interventions. We analyse how the intersectional community, cultural, and identity-specific factors in particular schooling environments shape responses to bystanding in postdigital environments, including how factors of sexism, defensive masculinity, elitism, racism, and a reluctance to report digital issues played out in the responses to the workshops. Finally, following young people's suggestions, we recommend that schools need to cultivate better safety and support strategies for youth in order to make postdigital bystander interventions more responsive and therefore effective in challenging and preventing sexual violence in society.
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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 | 0.000 |
| 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 | 0.001 |
| 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".