“It feels like a prison”: students, teachers, and administrators speak to the ubiquity and impacts of technology-facilitated violence in secondary schools
Bibliographic record
Abstract
This article examines how technology-facilitated violence (TFV) is experienced by students, teachers, and administrators in secondary schools across Ontario, Canada. Drawing on qualitative interviews with 29 participants, the study explores the multifaceted impacts of TFV within educational settings. The analysis revealed that technology-facilitated harms are long-lasting and ubiquitous and that the threat of harm is omnipresent. Participants described TFV as enduring and emotionally destabilizing, with effects that extended beyond digital platforms into students’ reputations, learning experiences, and institutional relationships. Educators, leaders, and students used spatial metaphors to describe the threat of TFV as inescapable and controlling force for young people. The persistent possibility of being targeted contributed a climate of fear that shaped how students navigated secondary school. The findings suggest that TFV is not an episodic or fringe issue, but rather a structuring force within contemporary school life.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".