Who is Asian?: Representing a Panethnic Continent in Queer Asian Activism and Community Building
Bibliographic record
Abstract
Abstract: This paper addresses the issue of queer Asian identification and representation in relation to political and social activism and community building. The essentialization of ethnicity, race and sexuality is shown to be counterproductive to collective organizing. Intersectionality, along with its interlocking tendencies, is recommended as a framework with which to analyze oppression and devise strategies of resistance on a holistic level. However, it is pointed out that for queer Asians, organizing within such a framework is complicated by the meaning of the term “Asian.” Asian identity is shown to be a construct that has been shaped by and imagined through discursive forces with roots in European colonialism and imperialism. The author suggests that an analysis of Asian identity grounded in a theory of panethnicity can be instructive in developing a framework that considers both local and global ethnic affiliations for the purposes of political mobilization, particularly in the form of coalition-building. Such a framework may be applicable to many different situations, including those present in the queer Asian community. To illustrate this, the author offers a case study of Gay and Lesbian Asians of Montreal (GLAM).
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.015 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".