“Brown girls can’t be gay”: Racism experienced by queer South Asian women in the Toronto LGBTQ community
Bibliographic record
Abstract
The absence of scholarship on South Asian discrimination in Western queer discourse contributes to a narrative that South Asians are not subjected to racially charged forms of discrimination in the LGBTQ community, which is fundamentally untrue. This article presents narrative-based accounts of nine queer South Asian women in Toronto, Canada, to examine the ways in which they experience racial discrimination in the LGBTQ community, and the impact that this mistreatment has on identity formation and connectivity to queer spheres. It finds that queer South Asian women experience racial discrimination in the form of racially charged microaggressions, which are evidenced through expectations of assimilation to Western-normative performances of queer identity and erasure of South Asian culture in the LGBTQ community. Further, it reveals that Toronto's LGBTQ community perpetuates a culture of White privilege that discredits the intersectional identity of queer South Asian women, and consequently invisibilizes, alienates, and revokes agency from these women who do not fit the majority's conceptualizations about what a queer woman looks like.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".