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Record W3217783899 · doi:10.16995/olh.6391

Brandon is a Network Not a Name: Fictocriticism & the Cyberfeminist Art of Shu Lea Cheang

2021· article· en· W3217783899 on OpenAlexaffabout
Zach Pearl

Bibliographic record

VenueOpen Library of Humanities · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPoeticsNarrativeObject (grammar)Indeterminacy (philosophy)AestheticsNarratologySociologyLiteratureEpistemologyArtLinguisticsPhilosophyPoetry

Abstract

fetched live from OpenAlex

The cyberfeminist art practice of Shu Lea Cheang evinces a particular relation of generative complicity with the art object—what Canadian cultural theorist Jeanne Randolph referred to as 'the amenable object' (1983). Randolph, who pioneered 'ficto-criticism'—a method of writing that intentionally blurs theory, poetics and narrative—wrote of the amenable object as an incomplete creation whose 'ambiguous elements' allow the viewer to make 'subjective interventions' in the work. Likewise, Cheang’s participatory installations and non-linear online narratives operate as amenable object-texts, requiring the user to not only navigate but contribute to them through acts of critical play and improvisation. Across Cheang’s oeuvre is also a nomadic politics of border-crossing that resonates as loudly with Donna Haraway’s cyborg as it does with the experimental feminist writing that became associated with fictocriticism. In this paper, I examine correlations between fictocritical approaches and formal tactics in Cheang’s studio practice to consider them as interrelated cyberfeminist strategies of resistance and dissent; ones that arose in counterpoint to the proliferation of deterministic, technocapitalist narratives. In particular, I look at how the fragmentation, partiality and double-voicing seen in many fictocritical texts were echoed in the user-experience of Cheang’s Brandon (1998), a sprawling network that posited the queer body as a collective series of actions. I conclude by looking at how these same techniques recall methods from Dadaism and Surrealism in the early 20th century and reflect on the recurrent role of indeterminacy in art and literature more generally to stem the entropy of binary paradigms.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.514
Threshold uncertainty score0.996

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.056
GPT teacher head0.297
Teacher spread0.241 · 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
GenreOther

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
Published2021
Admission routes2
Has abstractyes

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