Mapping Cadastral Records as Evidence of Colonial Land Theft: A Kanehsata'kehró:non-backed Investigation into the Archives of Quebec’s Sulpician Priests
Bibliographic record
Abstract
During the 18th and 19th centuries, the Saint Laurent valley, Quebec, became increasingly surveyed as France, England, and later Canada, claimed land and removed the Indigenous people who inhabited it. In Kanehsatà:ke (also known as Oka), the rights and interests of the Kanehsata'kehró:non were never included in the mapping process and they were continually denied rights and recognition. This research aims to reclaim land surveying by repurposing cadasters and land patents, originally used by religious and governmental institutions, for the Kanehsata'kehró:non to talk about land that was historically taken from them. While cadastral mapping has been critiqued as a tool of colonial surveillance and control, I flip the traditional power dynamic by mapping where settlers live and how they acquired land. This shift demonstrates that cadastral maps and archives can function not only as instruments of control but also as tools for liberation. To achieve this, I outline my mapping process in three parts. First, I review how maps and archives have been reshaped through counter-practices. I interview an art historian, a Citizen Potawatomi cartographer, a Kiowa journalist, and a historian recycling colonial land records in critical Indigenous mapping projects. These conversations provide a broad perspective on the intersection of maps and archives, highlighting unique insights, ethical considerations, and challenges in studying them together. Second, with the guidance of a Kanehsata'kehró:non Land Defender, I designed and led an investigation into the archives of the Sulpician priests. I developed a methodology to repurpose these “counter-archives” into a geospatial database for use in Geographic Information Systems (GIS). Finally, I explored future uses of my mapping project by tracking how various stakeholders plan to use the map to advance their own intentions and priorities. This approach not only demonstrates how colonial maps and archives provide different perspectives on historical events but also how to leverage these differences to amplify the voices of those who have been marginalized or silenced. By turning my attention towards the increasing Indigenous led research in colonial archives, I trace the emergence of new kinds of mapping projects and explore innovative uses of cadastral data to support political change. Recognizing colonial archives as a mappable dataset for Indigenous benefit broadens the scope of settler colonial studies in Quebec, a field that often plays second fiddle compared to other provinces. Ultimately, while mapping archives can serve as a basis for contemporary debates on land rights, reparations, and Indigenous sovereignty, the true essence of the work lies in cultivating and maintaining the relationships that bring these maps to life.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".