Bibliographic record
Abstract
In the spring of 2019, the first signed musical stage production was performed at Festival Clin d’Oeil—the world’s largest deaf arts festival that brings thousands to Reims, France, biennially. Surrounded by visual and performing arts, an invited delegation from Canada debuted the musical The Black Drum internationally, incorporating physical theater, signed music, projection, and dance. Signed music is an inter-performance art that demonstrates musical elements by culturally deaf individuals who have explored creating musical performances with their hands and bodies. These performances operate according to a distinct artistic style, incorporating elements of signed languages; rhythmic hand, facial, and/or body motions; and media video arts. This article offers insight into the performers’ process and development of a deaf-created signed musical for an international audience, the ways signed music galvanizes community and identity through self-expression, and the impact of The Black Drum on an international audience at Festival Clin d’Oeil. Through ethnomusicological analysis and reflection with perspectives as insider-outsider-mediator, signed music has been researched by the authors and observed throughout the development of The Black Drum in preparation for its Canadian and European premieres. The festival setting is a place where new types of performances are welcomed and evaluated for their acceptance into the community. Responses from audience members and performers revealed that signed music is an emerging genre of its own.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.023 | 0.016 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.021 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".