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Record W4381435944 · doi:10.5206/notabene.v16i1.16614

Ballroom Refuses to Burn: Exploitation versus Community Education in Documentaries about Voguing and the Ballroom Community

2023· article· en· W4381435944 on OpenAlexaffvenue
Andie Winsor

Bibliographic record

VenueNota bene · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsQueen's University
Fundersnot available
KeywordsBallroomMainstreamQueerMedia studiesRacismSociologyArtGender studiesHistoryVisual artsPerformance artPolitical scienceArt historyLaw

Abstract

fetched live from OpenAlex

Voguing and ballroom culture—unique forms of performance art which were incredibly important to the survival and artistic expression of LGBTQ+ Black and Latine communities during the height of the HIV/AIDS epidemic—have been captured and preserved in numerous documentaries. Building on a survey of the history of LGBTQ+ ballroom events and pageants in the United States, I then define the ballroom community as it is known today, discussing the inception of the community in the mid-twentieth century as a response to the racism faced by Black and Latine performers in the queer pagent competitions of the late nineteenth and early twentieth centuries, and the impact of the HIV/AIDS epidemic on the community. I then explore the practice of documenting this community, comparing explotive media such as the documentary Paris is Burning (1990), the television show Pose (2018), and music by Malcolm McLaren and Madonna to community-based, ethical media such as Tongues Untied (1989), Black Is…Black Ain’t (1995), and How Do I Look (2006), highlighting the key differences between these portrayals. Ultimately, I argue that community-based media is invaluable, countering the racism and queerphobia found in the more mainstream, exploitive examples with authentic portrayals of the ballroom communsity’s resilience and connectedness.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.065
GPT teacher head0.291
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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