Brandon is a Network Not a Name: Fictocriticism & the Cyberfeminist Art of Shu Lea Cheang
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".