Decolonizing blockades: Settler-citizen solidarities with Indigenous blockades
Bibliographic record
Abstract
In the Winter 2020, Canada witnessed an extraordinary number of blockades and solidarity protests in support of the Wet’suwet’en First Nation. The Wet’suwet’en had for years been fighting against the construction of an oil pipeline across their traditional territories. After a police raid dismantled their blockade, the traditional chiefs of the Wet’suwet’en issued a call for solidarity and support. The response was overwhelming with an enormous number of solidarity actions, including blockades of critical infrastructure, organized across Canada and internationally. This paper critically examines how settler-citizens engaged in acts of solidarity with Indigenous people, with a particular focus on how these acts of solidarity can contribute to the decolonization of Canadian citizenship. Since the Wet’suwet’en struggle involved the assertion of Indigenous sovereignty, the solidarity actions of Canadians raise important questions about the meaning of settler forms of citizenship. This paper takes a relational and decolonial perspective on solidarity blockades. Such an approach allows us to ask questions that are outside the scope of assessments concerned with the efficacy of a particular blockading action. The paper investigates the forms of solidarity found at the blockades, noting that a wide range of antagonistic, agonistic, and spatio-temporal relations were enacted at the various blockading actions. These relations allowed for a contentious production of new political subjectivities, collectivities, and citizenships.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.038 | 0.037 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| 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".