Is She B-Boying or B-Girling? Understanding How B-Girls Negotiate Gender and Belonging
Bibliographic record
Abstract
Abstract This chapter considers the practices of b-boying and b-girling through the lens of gender, by examining the discourses surrounding the dance practices of female breakers, and some of the ways these discourses impact on women’s social interactions within their dance community. Using the methodological framework of discourse analysis, and drawing from West and Zimmerman’s (1987) conception of gender, I discuss some of the ways by which gender is “accomplished” by female breakers, at the discursive, embodied, and interactional levels. Data collected in a review of the literature, and from both artifact and video analysis, was cross-referenced with transcripts of interviews conducted with female breakers in Montreal, Canada, and analyzed through thematic comparison, highlighting both the struggles women may face when participating in this implicitly masculine lifestyle community, and the ways in which their presence and participation can help to challenge hegemonic definitions of masculinity and femininity.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".