“The Normative Idea of Queer is a White Person”: Understanding Perceptions of White Privilege Among Lesbian, Bisexual, and Queer Women of Color in Toronto, Canada
Bibliographic record
Abstract
White privilege constructs whiteness as normative and central to lesbian, gay, bisexual, and queer (LGBQ) identities and is reproduced through social norms, media representations, and daily interactions. We aimed to enhance understanding of the processes by which white privilege was experienced among lesbian, bisexual, and queer (LBQ) women of color in Toronto, Canada. We conducted two focus groups with LBQ women of color, one with participants who self-identified as masculine of center (n = 8) and the second with participants who identified as feminine of center (n = 8). Findings indicate that LBQ women of color experience intersectional stigma (e.g., homophobia, racism, sexism) on a daily basis. Participant narratives revealed that white privilege shaped the representations of women of color in a particular way that promoted their exclusion from white LBQ spaces and broader society. By representing queerness as white, LBQ women of color were rendered invisible in both queer and racialized communities. LBQ women of color were further marginalized by constructions of "real" women as passive, feminine and white, and conversely perceptions of women of color as aggressive, emotional, and hypersexualized. These representations inform spatialized practices and social interactions through constructing racialized communities as discriminatory and "backwards" while maintaining the invisibility of white privilege and racism in LBQ spaces.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.012 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| 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".