Burial Places, White Supremacy, and Racial Necrogeographies in Eastern North America
Bibliographic record
Abstract
This dissertation examines how the places inhabited by the racialized dead have been threatened, destroyed, or disallowed in regimes of racialization and colonization in the territories of the Saugeen Anishinaabeg (an area colonially known as Bruce and Grey Counties, Ontario) and throughout eastern North America. In this dissertation I include the burial places of four interconnected peoples: Anishinaabe nations of the greater Great Lakes region, Black communities descended from enslaved Africans in Ontario and the Mid-Atlantic, Protestant English-speaking white populations of Ontario and the eastern United States, and Muslim communities who may be part of any of the three preceding groups, but who also comprise large numbers of late 20th century and early 21st migrants to eastern North America. This dissertation maps a variety of case studies across these communities, while remaining centred on the Anishinaabe world. I chronicle how white people have engaged in a pattern of desecration and destruction of the burial places of Indigenous and Black communities and resisted efforts by Muslims to establish space to bury their dead. White people have thus maintained the landscape of whiteness both through the destruction of existing graves and the denial of new ones. I argue first that processes of racial dehumanization and colonial dispossession have not only been inflicted on the living but also the dead and the sites they inhabit, and that this violence has its roots in traditions of posthumous dehumanization that are part of British/North American Protestant cultures while also, paradoxically, being deeply at odds with this culture's worldviews about the dead and the respect owed to them. Second, I argue that processes of colonial dispossession rooted in the removal of peoples from their lands extend to the grave itself, and that the grave is a symbol of power over a place. Thirdly, I argue that there is a wide pattern of burial place destruction across eastern North America. Finally, throughout this dissertation, I highlight the profound and magnified importance of these sites to Indigenous, Black, and Muslim communities, as evidenced by both reclamation or establishment efforts, and the presence of burial places (and instances of their destruction) in the spoken statements and the creative literatures of these communities, for whom these sites are essential connectors to threatened pasts, violent presents, and resurgent futures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".