The Invisibilisation of African Canadian Histories in Public Memory: The Heritage Designation of 221-223 King Street East & The Black Absented Presence of Joseph Gutches in Kingston, Ontario, Canada
Bibliographic record
Abstract
This work seeks to address the invisibilisation of African Canadian histories in relation to constructions of public memory in Canada. I center my research around the erasure of Joseph Gutches’ historical presence as a black enslaved man from the heritage interpretation of 221-223 King Street East in Kingston, Ontario, Canada. I develop this research topic out of a response to the centering of Joseph Gutches’ historical narrative through the virtual memory project entitled Stones Kingston. The emergence of Joseph Gutches’ historical presence acts as a counter-narrative that disrupts the dominant white settler remembrances associated with 221-223 King Street East. I use the memory producing content presented by Stones Kingston as evidence towards the invisibilisation of black Kingstonion history working through the “official” cultural heritage interpretation and designation of 221-223 King Street East under the Ontario Heritage Act. \n From a geographical perspective, I engage with the conceptual and theoretical groundwork provided by the sub-discipline of black geographies to attend to the denials of black Canada as enduring and historical. I draw upon overlapping and intersecting geographies of black enslavement to inform the narrative building I employ to render visible Joseph Gutches’ historical presence and the processes of invisibilisation. To address my research problem, I complete a thematic analysis of archived material pertaining to the documented presences of Joseph Gutches and his slaveholder(s). These preservations of tangible records provide insights into the characteristics of colonial memory production and its relationships to traditional heritage and public memory. In combination with the strategies listed above, I analyse the architectural dominance of 221-223 King Street East, acknowledging the site as a historical landscape belonging to a conservation district and as a series of landscapes connected by hegemonic meanings protected under cultural heritage laws. I conclude my research by discussing the interactions between ideological, racial, socio-cultural, and spatial practices that construct the absented presences of black Canadian historical peoples from the heritage interpretations of historical sites in Canada. I finalise my conclusion by introducing how blackness and early black Canada can be remembered amidst the terrain of archival and traditional heritage-based productions of public memory.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".