Surfacing, Voicing and Signalling Freedom in Relational Performance: Cheryl L’Hirondelle and Camille Turner’s Freedom Tours
Bibliographic record
Abstract
The marking of colonial narratives mapped as histories onto Canada are reinforced on almost every boat, train, or rail tour in Canada. In Freedom Tours (2017) for LandMarks2017/Répéres2017, by artists Cheryl L’Hirondelle and Camille Turner the artists disrupted these entrenched histories hosting two sailings with tour narration. Thes narrated tours featured narratives that stemmed from Cree worldview and Caribbean diasporic perspectives. In L’Hirondelle and Turner’s work they built an architecture of songs unsung and stories untold in a temporal space- a boat tour in the waters in and around the Thousand Islands National Park. In this text I revisit the process of working with these artists to reveal the ways in which their work while being joyous also signaled the ways in which colonial histories drown out Indigenous, Black and People of Colour narratives in Canada. The historic settler alteration of waterways and borders within the Thousand Islands National Park has meant that some islands, previously visited by Indigenous people to harvest maple sap, are no longer above water. In this paper I want to be that island resurfacing sweet syrup, rising in these unstable waters to offer truths to Canada’s colonial narrative.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.045 | 0.053 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".