Bibliographic record
Abstract
Moving Together: Dance and Pluralism in Canada ventures into fraught issues of culture and identity to show how dance, and dance scholarship, can contribute to the evolution of cultural pluralism in Canada. The book explores the history of policies surrounding multiculturalism before talking about how dance may enrich the discussion. It goes on to a series of case studies that touch on Indigenous dance and dance in Quebec and in various diasporic dance communities. Some studies discussthe mixing and encounter of different cultures in dance. My review explores a selection of the book’s chapters that highlight important themes: the essentializing of non-dominant cultures, the issue of cultural appropriation, and the transformative possibilities of dance. Sharing concerns about my own self-congratulatory tendency when it comes to narratives about Canada, I critique the book’s overly optimistic view and its shortage of BIPOC authors. Despite these concerns , Moving Together offers a well-considered sounding of current practices, discourses, and debates.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.032 | 0.042 |
| Scholarly communication | 0.023 | 0.009 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".