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Record W4411494755 · doi:10.1177/17416590251345744

He posted/she posted: Unpacking the affordances of social media evidence in sexual assault cases

2025· article· en· W4411494755 on OpenAlex
Fanny Ramirez, Vincent Denault

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCrime Media Culture An International Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAffordanceSocial mediaSexual assaultUnpackingVisibilitySocial psychologyPsychologyCriminologyPolitical sciencePoison controlSuicide preventionLawMedicine

Abstract

fetched live from OpenAlex

Drawing on communication affordance theory and literature on victim blaming, rape myths, and violence against women, this study uses a qualitative content analysis of 108 publicly available court judgements to examine the use of social media evidence in sexual assault trials in Canada. Our findings indicate that the defense and the prosecution use social media’s affordance of digital association to establish relational ties between victims and defendants. Both sides also draw on the persistence and visibility of social media to support different interpretations of the events surrounding the assault based on pre- and post-assault communications, especially as it relates to the matter of consent. Lastly, we find that news stories or public service announcements posted to social media are referenced in the courts as important motivators that encourage women to come forward about their assault.

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)0.004
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 score0.073
Threshold uncertainty score0.777

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.105
GPT teacher head0.421
Teacher spread0.316 · 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