Queering Asian Canada: Troubling Family, Generation, and Community
Bibliographic record
Abstract
This article argues that a queer perspective on Asian Canadian studies can open new inquiries and simultaneously trouble the centrality of family, generation, and community in documenting and examining racialized minority and diasporic groups. By rethinking these analytical concepts through queer possibilities and interventions, research into Asian Canada can become more inclusive and transgressive, and can foreground alternative queer kinships which exceed heteropatriarchal bloodlines, filial relations, and co-ethnic singularities. Putting forth counter-histories of racialized and diasporic sexualities, this article builds upon and complements archival research on lesbian, gay, bisexual, and transgender Asian Canadians, and turns to artists and cultural workers who offer rich historical and contemporary representations of queer Asian Canada. In particular, it examines the 2015 film It Runs in the Family by Joella Cabalu, the 2016 film Re:Orientations by Richard Fung, and the 2016 exhibition Not a Place on a Map: The Desh Pardesh Project curated by Anna Malla.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.050 | 0.027 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".