<i>Dis-ing</i> the Main Drag and Walking toward the Public Good in <i>Here Be Dragons</i>: Mapping Queer, AsianCanadian Identity in Kitchener, Ontario
Bibliographic record
Abstract
A young man, who self-identifies as Asian-Canadian and queer, decides to leave the small, socially conservative southwestern Ontario city where he has grown up. He decides to perform the story of this departure, its origins, its process, and its possible outcomes. The performance takes the form of a map, and before long he maps a terrain vastly different from what most who live in the city would recognize as home. As a performative process, mapping is explored as an attempt to apprehend where we are, who we are, and with whom we share the process. Mapping and walking together become an embodied experience carried out from a particular point of view that makes possible both an awareness of multiple perceptions of, and orientations toward, place. Walking and mapping are not just the combined acts of creative-research; they also serve as methodology. José Estaban Muñoz argues that “identities-in-difference” emerge out of a failed interpellation within the public sphere. Disidentifying with the dominant sphere allows for the emergence of a counter-public sphere; the landscape is the same, but the way it is mapped, used, and understood is different. Refuting both identification and counter-identification— or assimilation and anti-assimilation—disidentification allows for a third mode of dealing with dominant, embedded ideology that uses the idea of “working both on and against” as a strategy that tries to transform a cultural logic from within. In this article, Andrew Houston articulates how disidentification was mapped and experienced as a form of dis-orientation in Here Be Dragons, a multi-media, sitespecific performance staged as part of IMPACT ’11, wherein the audience were invited on a journey of displacement; a mytho-geographical mapping of queer, Asian-Canadian identity in downtown Kitchener, Ontario. In Here Be Dragons, identities-in-difference are experienced as the audience—the tourists to this domain—walk within the testimonial terrain of a young man, navigating a landscape of edges and antagonism in their hometown.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.038 | 0.012 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".