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Record W4412457245 · doi:10.1080/13676261.2025.2531789

Technology-facilitated sexual violence perpetration as a tool for gender policing in secondary schools

2025· article· en· W4412457245 on OpenAlex
Salsabel Almanssori, Laxana Paskaran, Kaitlynn Mendes

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Youth Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsWomen's and Gender Studies et Recherches FéministesYork UniversityWestern UniversityUniversity of Windsor
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologySexual violenceCriminologySocial psychologySociologyGender studiesDevelopmental psychology

Abstract

fetched live from OpenAlex

This research examines student, teacher and administrator experiences of tech-facilitated sexual violence (TFSV) in secondary schools in Ontario, Canada. TFSV includes a range of acts where digital technologies are used to facilitate virtual and in-person sexual harms. Data were collected using in-depth semi-structured interviews with 9 in-service teachers and 4 administrators as well as 16 recent secondary school graduates. Findings demonstrate that TFSV serves as both a mechanism for gender policing and a means of aligning with hegemonic masculinity and manosphere ideologies, with schools functioning as institutional contexts that enable the perpetration of these harms. Boys use TFSV to assert masculine dominance, gain peer approval and police gender norms, particularly by targeting girls through slut-shaming and image-based sexual abuse. Schools, prioritizing reputation over accountability, normalize these harms by downplaying disciplinary action and failing to address the structural forces sustaining digital gendered violence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.377
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it