Unsilencing the Past: Staging Black Atlantic Memory in Canada and Beyond
Bibliographic record
Abstract
My project probes the silences of Newfoundlands colonial past by making connections between faraway lands on the other side of the Atlantic that seem, on the surface, to have nothing to do with this geography, but are, in fact, socially, economically, and geologically entangled. It traverses the landscape and the seascape of the island, linking it to Europe and Africa and back again. It makes this journey by land and ship in search of what lies beneath what can be seen, in search of the deeper geologies of this eastern tip of Canada. I use a research-creation approach to critically investigate this silence a silence that shrouds a ghostly past that is still present. I draw on the idea of hauntology, which Avery Gordon (2008) theorizes as a social force manifested in unsettled feelings that occur in response to loss and violence that are systematically denied but are still present, and which Viviane Saleh Hanna (2015) explains as colonial delusions that underpin modernity. \nGuided by my feeling of being haunted, I lift the shroud that envelops this history. In so doing, I unmap Newfoundland, revealing its connections to the Atlantic trade in humans and defamiliarizing what appears to be an innocent landscape that has not been tampered with. The results of this unmapping are expressed by the interdisciplinary artworks Afronautic Research Lab: Newfoundland (2019), Nave (2021), and Sarah (2021), which accompany this written record of the dissertation. The written portion of this project also retraces and records the steps of my own artistic process and the journeys I have made by walking on land, travelling across the ocean in the hold of a ship through the archival records, and mapping the process of my work, the facts I encountered, and the affects these produced in my own body and which guided the choices I made about how to represent or perform them. I explore all these as they appear and evolve throughout this research-creation process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".