Viviendo en la Frontera: Exploring the Racialized Experiences of Queer Latinas in Ottawa
Bibliographic record
Abstract
In this dissertation, I explore how queer Latinas living in Ottawa navigate, negotiate, and challenge the dominant power structures of whiteness in the city, including its queer white environments. Based on eighteen months of ethnographic fieldwork in the queer bar, The Hot Room Bar and Nightclub in the ByWard Market, my work focuses on Latinas’ queer practices, including as they relate to gender performance, migration, identities, work, education, health care, family, friendships, sexual relationships, marriage, motherhood, language and mass media. At the same time, I refer to Latinas’ life experiences in Ottawa and the ways in which they engage with the ideology of multiculturalism. This thesis takes up Anzaldúa’s theory of the borderlands to reveal the contradictory ways in which queer Latinas navigate, negotiate, engage, and challenge their social border crossings. Through borderlands, the dissertation focuses on the shifting processes experienced by Latinas post-migration. As well, it refers to Latinas who despite not having experienced migration, still experience racialization because of their Latin American or Caribbean backgrounds. I illustrate how these women engage and use social mixing to reinvent themselves with the purpose of living meaningful lives post-migration. It is within this reinvention that these women are also able to break up the binary thinking of being Latin Americans or Canadians and instead, create new identities for themselves. I examine the complex ways in which queer (migrant) Latinas experience different forms of racialization in the city and how this racialization becomes part of the shifting process of Latinas’ self-reinvention post-migration. I track stereotypes as one of the forms in which Latinas experience Ottawa and while some Latinas experience them in harmful ways, other Latinas use stereotypes in creative ways for social and economic mobility, and some even to succeed on television.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 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".