Bibliographic record
Abstract
This article juxtaposes two ethnographic moments from five years of fieldwork (2013–18) with a group of queer Taiwanese immigrants in Toronto, which coincided with the pivotal years during which Taiwan became recognized in Anglophone West as Asia’s “beacon” of queer liberation. I situate the first moment—an unruly, noisy night of transgressive vocal play and aural contestations at home—within a political climate marked by potential, when a capacious, non-identitarian, Sinophone queerness may become legally sanctioned in Taiwan. The sense of fluid, open possibilities contrasted starkly with the second moment, two and half years later, when the same group conspicuously performed an act of “sounding out” at Pride Toronto, and in so doing submitted to the interpellations of homonational multicultural Canada—feeding the liberal Canadian hunger for an exceptional queer Asia(n) that proves the rhetoric of Asia as “backwardly homophobic.” I analyze my interlocutors’ sounding practices to demonstrate their multiple incommensurable modes of listening across these two moments, in order to interrogate how liberalism moralizes minoritarian gestures of “sounding out.” Positioning the immigrant’s irreconcilably heterogenous lifeworlds as a critical resource (rather than brokenness), I argue for an intersectional minoritarian praxis of listening incommensurably.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".