Dance Archives in an Online Environment: The Impact of Digital Media on the Preservation of Dance History
Bibliographic record
Abstract
The archival strategies offered through the Dance Collections Danse (DCD) online database (based in Toronto) illuminate the emerging impulse to educate practitioners about archiving systems for the purpose of facilitating a more immediate organization of materials and information by the companies, choreographers, and dancers themselves. These strategies emphasize the importance of immediacy to the preservation of projects in theatrical dance, not only to avoid historical backtracking but also to generate a “living” history and a sustainable method for presenting contemporary movements in theatrical dance as they arise. While the move to digital archiving evokes the desire to preserve dance as a fundamental part of Canadian arts and cultural heritage, it also presents challenges vis-à-vis negotiating the most effective way to document this ephemeral art form in both development and production. This paper sets out to interrogate the relationship between dance archiving, the preservation of dance history, and digital media.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".