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Record W2016504961 · doi:10.1177/0964663912465638

‘Look, a Faggot!’

2012· article· en· W2016504961 on OpenAlexaffabout
Allyson M. Lunny

Bibliographic record

VenueSocial & Legal Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsScrutinyCognitive dissonanceQueerNeutralityRhetorical questionSociologyLawJudicial restraintConsonance and dissonanceTrespassRationalityTrope (literature)HomicideSexual orientationPsychoanalysisPhilosophyPsychologyJudicial activismPoison controlPolitical scienceJudicial reviewSocial psychologySuicide preventionGender studies

Abstract

fetched live from OpenAlex

This article utilizes Kendall Thomas’ psychoanalysis of judicial discourse to analyze the meaning and effect of two distinct judicial understandings of the homicide of Aaron Webster, a man who had been beaten to death by several young males in a Vancouver queer cruising area. In the reason for sentence in R. v. J.S., the judge gave a creative application to the law of enhanced sentencing when he acknowledged that the intended victims of the assault – ‘fucking voyeurs’ – could fall within the purview of ‘sexual orientation’. Striking a dissonant tone, the judge in the subsequent case, R. v. Cran, claimed that she found no evidence of hate motivation against gay men in the attack and that Webster’s reason for being in the park that night dressed only in his boots was literally unremarkable: ‘[Webster] was simply standing near a parking lot, smoking, naked’. By analyzing the trope of the scopic along with the instances of judicial dissonance, rhetorical excess and defensive posturing, claims of judicial rationality, neutrality and objectivity come under scrutiny.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
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 head0.070
GPT teacher head0.388
Teacher spread0.318 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2012
Admission routes2
Has abstractyes

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