Building Bridges on Queer Soil : Queer Kinship and the continuous Queering of Tkarón:to’s W*acking Community
Bibliographic record
Abstract
As street dance continues to maintain global popularity and visibility in mainstream media, dancers are increasingly discussing worries about inauthentic and unsupportive dance-communities. This research explores pockets of the Punking / Whacking / Waacking / W*acking community on the lands of colonially known Toronto. These efforts are made in order to consider how a community can be queered and in turn uplift its agents, while also considering how to carefully enter in dialogue with history to embrace originating and empowering principals of a subcultural dance-form in its evolutions. The mixed-methods of autoethnography and phenomenology chronicle personal experiences of a multiracial queer researcher, while including voices of local community members through interview accounts given by established and newer dancers and culture stewards. An interrogation of what trials and successes lie within the maintenance of safer spaces with decentralised organisation of indoor- and outdoor sessions, drop in classes and dance programs in studio and public contexts depicts how presently community is nourished, maintained, and in reciprocity promotes abject ways of passing on knowledge, skills, self-care, and resistance.
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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 | 0.024 | 0.028 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".