Bibliographic record
Abstract
The 2022 Freedom Convoy in Ottawa, Canada, raises questions about the meaning and tactics of decolonial abolition. To call for the police of a colonial state to crack down on unruly settlers on stolen Indigenous land is both hypocritical and ineffective. And yet, it isn't clear how to organize effective grassroots resistance against a well-funded group of possibly armed right-wing protesters in trucks. This essay situates the Freedom Convoy in the longer durée of capitalist extraction and colonial state violence in so-called Canada, arguing that the convoy was not an anomaly but an expression of the global logic of carceral racial capitalism. It then engages with teachings shared by Leanne Betasamosake Simpson about the beaver's practice of building dams that sustain life and, in some cases, threaten it. If we understand Canada as both a liberal democracy and a “criminal empire” willing to destroy the earth and the Indigenous nations that care for it, then Robyn Maynard is right: abolition means Land Back. The question for decolonial abolitionists then becomes not just how to shut down prisons or dislodge right-wing occupations, but rather how to staunch the flows of colonial racial capitalism, deepening pools that support diverse forms of 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.035 | 0.010 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".