Gender in Motion: Exceeding Heteronormative Codes in Salsa Dancing
Bibliographic record
Abstract
By conducting an analysis of salsa’s stereotypical configurations of femininity and masculinity through my own embodied experience as a dancer, this MRP (major research paper) considers how bodies in salsa are visually and discursively constructed as gendered and how through improvised compositions dancers exceed this heteronormative framework. My analysis focuses on the relationality of salsa dancers in local club settings in Toronto to explore how gestures and touch can exceed the gendered binary constructions of “leads” and “follows” to bring forth an alternative understanding of identity that is always in the process of becoming. Informed by the work of Judith Butler, Erin Manning, Carrie Noland, Gilles Deleuze and Félix Guattari, my analysis adopts a performative and post-structuralist lens to argue that a salsa dancer’s improvised movements can create an individuating body that approaches a Body without Organs.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.032 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.008 |
| 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".