Dancing across borders: the American fascination with exotic dance forms
Bibliographic record
Abstract
Also author of Choreophobia: Solo Improvised Dance in the Iranian World (1999), Choreographic Politics: State Folk Dance Companies, Representation, and Power (CH, Jan'03, 40-2710), and Choreographing Identities: Folk Dance, Ethnicity, and Festival in the Unites States and Canada (CH, May'07, 44-4975), Shay notes that research for the last of these led to the current volume, which focuses on "outsiders" in the broader context of recreational and performance practices of "exotic" dance in the US from the mid-1990s through the present. Shay frames discussion with the writing of social scientists Margaret Somers and Gloria Gibson, particularly their notion of ontological narratives. He grounds his commentary in his extensive experience in his "home" genre (Balkan dance) and also discusses Asian and Southeast Asian classical dances, Latin American social dances, and Middle Eastern dances as practiced in the US by non-native dancers. For each genre, Shay looks at "gateways" that made these dances available to non-native US practitioners during the past 50 years. He also considers first encounters with the other, early performances, the international recreational folk dance movement, and the rise of world dance and ethnomusicology programs in colleges and universities. This is a valuable companion to Shay's earlier works. Summing Up: Recommended. Upper-division undergraduates through faculty and professionals.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.015 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".