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Record W2965458903 · doi:10.1558/genl.35019

‘Well, I saw the picture’

2019· article· en· W2965458903 on OpenAlex

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

VenueGender and Language · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsSilenceHuman sexualityIdeologySociologyGender studiesNormativePsychologySocial psychologyAestheticsLawPolitical scienceArtPolitics

Abstract

fetched live from OpenAlex

Cultural norms surrounding heterosexuality have been shown to influence legal and popular understandings of rape. In particular, Nicola Gavey has proposed that normative ideas about men’s aggressive, hard-to-control sexuality and women’s passive, acquiescing sexuality operate as a ‘cultural scaffold’ for rape – they provide a sense-making framework that allows rape to be understood as ‘just sex’. This paper, a case study of the 2013 Steubenville (Ohio, USA) rape trial, attempts to show how the social media evidence in the trial, especially the photographic evidence, was able to unsettle some of these discourses surrounding heterosex. Following work by Webb Keane and Crispin Thurlow on semiotic ideologies, I argue that the special status assigned to the digital images by the trial participants, relative to the linguistic representations, had significant consequences for the outcome of the trial. Crucially, it brought into stark relief the problematic nature of the defence’s claim that passivity and silence on the part of the complainant was tantamount to consent.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.611
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.011
GPT teacher head0.274
Teacher spread0.263 · 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