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Record W2768013020 · doi:10.1386/cjmc.6.2.181_1

Faces sailing by: ‘Junk Theory’ and racialized bodies in the Sutherland Shire

2015· article· en· W2768013020 on OpenAlexaff
Daniella Trimboli

Bibliographic record

VenueCrossings Journal of Migration and Culture · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMulticulturalismSociologyPerformativityShireScholarshipGender studiesPoliticsAestheticsArt worldMedia studiesPolitical scienceArtPerformance artLawHistory

Abstract

fetched live from OpenAlex

Abstract This article explores how the arts-for-social change company, Big hART, responded to the Cronulla riots in Western Sydney, Australia. The riots were instigated on 4 December 2005 following an altercation between three Anglo-Australian lifeguards and a group of men identified as being of Lebanese background. Big hART’s creative response, ‘Junk Theory’, involved the collaboration of youth from diverse cultural groups in the Sutherland Shire and resulted in a moving-media installation that projected digital stories onto the sails of a junk boat. With its message, ‘It’s harder to hurt someone when you know their story’, the work raises important questions regarding diversity, social cohesion and the corporeal force of community-based art. My critique of this work is the starting point for my interest in the material – and often subtle – ways that racialized bodies come to be produced through multiculturalism discourse. I want to add to the contemporary scholarship account of a tension between theoretical/political multiculturalism and its everyday engagements, by utilizing Judith Butler’s theory of performativity to examine the multicultural body in both public and creative space. The article uses performativity to consider how it is that certain bodies came to be seen as beyond the limits of not only the Cronulla beach, but humanness itself. It then considers how the same theory makes way for slippages, which, if harnessed, may be used to deconstruct the racialized body in everyday art forms.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.677

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 studies0.0000.000
Scholarly communication0.0010.000
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 head0.040
GPT teacher head0.326
Teacher spread0.285 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2015
Admission routes1
Has abstractyes

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