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Record W2578880519 · doi:10.1177/1557085116687032

Virtualized Violence and Anonymous Juries: Unpacking Steubenville’s “Big Red” Sexual Assault Case and the Role of Social Media

2017· article· en· W2578880519 on OpenAlex
Jordan Fairbairn, Dale Spencer

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.

Bibliographic record

VenueFeminist Criminology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsCarleton UniversityWestern University
FundersWorld Health Organization
KeywordsSexual assaultUnpackingCriminologySexual violenceCriminal justiceEconomic JusticeSociologyComputer securitySocial psychologyPoison controlPsychologyPolitical scienceSuicide preventionLawMedical emergencyMedicineComputer science

Abstract

fetched live from OpenAlex

In this article, we analyze a 2012 sexual assault case from Steubenville, Ohio, and the hacktivist “Anonymous” group response to the sexual assault. Drawing on Paul Virilio’s discussion of dromoscopy and concept of virtualization, we demonstrate the speed at which a “local” sexual assault can be exposed and go viral and how broader publics can be interpellated as bystanders in such cases. We show how emerging forms of online activism are exposing and contesting these new forms of violence against women and consider their potential to erode criminal justice blockages to justice for survivors of sexual 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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.998

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 studies0.0030.005
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 head0.072
GPT teacher head0.341
Teacher spread0.269 · 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