“I (Don’t) Want To Be Seen: A Performative Auto-Ethnography of the Young Feminist Artist in Public”
Bibliographic record
Abstract
In this article, I bring together three auto-ethnographic vignettes, written between 2011 and 2014, that converge around issues of public space, feminist cultural production, technology, and physical exposure in Vancouver and Berlin. Drawing from performance studies frameworks, I position both the rituals of everyday life (like ordering an Americano from a coffeeshop in Vancouver) and moments of explicitly making an artwork (like collaborating on a performance for Vancouver’s LIVE 2011 biennale) as performative. What began as an attempt to read a Vancouver coffeeshop through a fairly straightforward, auto-ethnographic, de Certeauian framework during my Masters research evolved into a scene of sexual harassment and assault, and this article is both a trace of, and a testament to, the challenges that young women-identifying artists and scholars continue to come up against when they do their work in public.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.033 | 0.029 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| 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".