Apprehending Black Queer Diasporas: A Study of Black Pride Festivals and Their Emplacements
Bibliographic record
Abstract
“Apprehending Black Queer Diasporas is a historical consideration of Black Pride festivals. Emerging as an alternative to “mainstream” Pride parades, Black Pride has its origins in grass-roots community organizing by Black LGBT+ populations in response to the HIV/AIDS crisis in major US metropolitan cities in the early 1990s. As both a celebration of Black LGBT+ life and a space for political organizing, the model of Black Pride would be adopted throughout the United States, and internationally in London, U.K., and South Africa. Examined through a “black queer diasporic analytic” this dissertation traces the movement of this festival to assess how it was enabled through diasporic affinities among Black LGBT+ populations, globally. Utilizing a transnational comparative approach this study was conducted in three global cities; Toronto, Los Angeles, and London, U.K. Through key informant interviews with the founders of the Black Pride festivals selected, this dissertation offers a cultural history of the festival to capture the political contexts that prompted their emergence. Methodologically, I supplement the ethnographic component with archival research conducted in select LGBT archives to assess what the major political priorities were that served as the impetus for Black Pride festivals. Moving between ethnography, cultural history and social and cultural geography I discuss the historical origins of the festivals, in tandem with the spatial politics that are engendered when Black LGBT+ communities assert and cultivate communal space. Through a “black queer diasporic analytic” this project traces the transnational circuits of cultural exchange among Black LGBT+ communities that enabled Black Pride to become a global movement.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.027 | 0.016 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| 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".