Rethinking political symbols: Indigenous nationhood and settler colonialism in the Canada/United States borderlands
Bibliographic record
Abstract
Abstract Straddling the Canada/United States border at its western end is a 67‐foot monument symbolizing 200 years of peace between the two countries. Today, it is frequently used as a site for protest against the state. This article analyzes an environmental protest against energy transmission projects through the Salish Sea by Coast Salish Indigenous nations. I argue that the Coast Salish are using the landscape as a political symbol, effectively erasing the international border that separates them. Their presentation as a unified nation succeeds because of their strategic manipulation of political symbols. Drawing primarily on ethnographic methods, this article demonstrates that the choice of the international park as a site of protest serves as an entry point for Indigenous activists to expand the scope of their position; the border is implicated in the creation of emergent political identities that draw on and transform political symbols. The argument is that the materiality of these political symbols is being used by Indigenous nations and their allies and contributes to theoretical work on settler colonialism as it pertains to the creation, deployment, and analysis of political symbols. The use of political symbols in the borderlands illustrates the shifts in a struggle over power and identity and how they manifest in daily life.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.033 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".