(En)gendering Shoreline Law: Nishnaabeg Relational Politics Along the Trent Severn Waterway
Bibliographic record
Abstract
This article examines the colonization of Michi Saagiig Nishnaabeg territory by the Trent Severn Waterway. By examining legal bracketing as a process within Canadian common law alongside prevailing Nishnaabeg philosophy and legal thought, I consider how the construction of a canal system connecting Lake Ontario to Georgian Bay disrupted practices integral to Nishnaabeg law. I offer up the concept of shoreline law as a way to understand particular place-based relationships that Mississaugas hold with water and land and other beings with which they share territory. In particular, I show how colonial domination of Nishnaabeg territory resulted in a gendered dispossession of land that continues to have reverberations throughout Nishnaabeg political systems today. Shoreline law offers up a way to rethink international relations by showing the importance of multiple relationships within the shared space of the shoreline.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.018 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".