“I Guess It Was Unsettling”: Indigenous Performance, Nationalist Narratives and Conciliation
Bibliographic record
Abstract
In 2017, the Kika’ige Historical Society, an Indigenous women’s performance troupe based in Guelph, Ontario, created Tabling 150 in response to the mainstream celebrations of Canada’s sesquicentennial. In Tabling 150, a group of twelve Indigenous women imagined how their grandmothers might have wanted to present themselves, had they been invited to Confederation balls, and to consider what their ancestors might have “brought to the table.” In this article, the members of the Kika’ige, a settler ally performance scholar and research assistant highlight the discomfort this performance created for its settler audience and the ways that such moments of unsettling through performance can prompt settlers to reflect on the roles they need to play in conciliation. The authors consider the importance of the role of space-making in performance specifically and in reconciliation efforts more generally and conclude that challenging colonialism requires creators to offer spaces in which audience members confront their past and process the discomfort associated with inverting nationalist narratives.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.054 | 0.063 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".