Bibliographic record
Abstract
Abstract Very few people would have predicted that a former Soviet Republic, Armenia, would be the site of a burgeoning Hip Hop dance scene. Yet today, you can find a weekly class that teaches breaking, popping, or locking throughout the capital, Yerevan, as well as in outlying areas such as Abovyan and Charentsavan. Competitions take place regularly with guests who are visiting from throughout the former Soviet Union, Europe, and North America, and some dancers who make a living off teaching and performing Hip Hop dance styles. This chapter takes an in-depth look at the development of breaking within the country. Through qualitative interviews with practitioners and direct participant observation, it traces how—and more importantly, why—an artform from a region as far removed as the Bronx, New York, has been adopted by young people in Armenia. It argues that Hip Hop’s embodied practices have helped b-girls and b-boys challenge constrictions and forge new identities at a time of immense socioeconomic transformation, lending support to what dance scholar Halifu Osumare (2007) has identified as the “connective marginalities” developed through global Hip Hop culture.
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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 | 0.000 | 0.001 |
| 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 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.046 | 0.006 |
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".