Terms of Engagement: The Ethics and Aesthetics of Artistic Experimentation in the <i>Rencontres/Encounters</i> Project. A Dialogue of Sorts
Bibliographic record
Abstract
Situated within a context of social unease around xenophobic measures such as Québec’s Commission on Reasonable Accommodation and the infamous Charter of Québec Values, Rencontres/Encounters (R/E)’s research-creation process foregrounds what Ric Knowles terms “interculturalism” or “the contested, unsettling, and often unequal spaces between cultures, spaces that can function as performative sites of negotiation.” R/E blurs distinctions of what constitutes “community-engaged,” by experimenting with professional theatre artists from diverse or marginalized communities as an ethical, experimental approach to advancing social engagement processes and artistic creation. Can stepping into performance in the stories of others/another/an Other help build relationships and transform understandings across different life experiences, value systems, racialization, faiths, sexual and gender identities, etc.? The basis of the R/E experimental methodology in studio was to invite performance proposals centred on an ever-evolving set of questions. For example: What personal material can and should be used? How can risks be mitigated in future encounters? What are we looking for? How can we clarify the terms of engagement? Our team now is refining and adapting the experiments for dissemination in the form of workshops, and through a resource guide that will provide a menu of exercises, games, and performance proposals.
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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 | 0.063 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.169 |
| Scholarly communication | 0.032 | 0.009 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.006 | 0.009 |
| 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".