Bibliographic record
Abstract
In this article, author Natalie Alvarez examines how the Caminos and RUTAS festivals of Toronto’s Aluna Theatre harness the interactional, mass gathering of the festival and its high visibility to form a theatrical commons grounded in a heterogeneous and intercultural Americas, one that includes Latin American, Latinx, Indigenous, and Afro-Caribbean artists that have historically been excluded both from the Eurocentric vision of “Latin America” and Canadian performance histories. With a producing mandate to foster Canadian-hemispheric cultural exchanges, Beatriz Pizano’s and Trevor Schwellnus’s curatorial practices aim to generate alternate genealogical routes of Canadian performance history for a new generation of artists to travel. The performance routes of these festivals speak to the critical role festivals can play in directing—and redirecting—transnational flows of knowledge and artistic production. But Pizano and Schwellnus’s curatorial aims are also driven by an interest in how festivals like RUTAS and Caminos can generate a structural shift in the kinds of artistic traditions that are sustained on Toronto’s stages and the ways in which they are sustained by fostering hemispheric collaborations and co-productions. The RUTAS and Caminos festivals demonstrate very powerfully the work that a theatrical commons can do to advance alternative producing structures and transnational coalitional politics.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.022 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".