Penal nationalism in the settler colony: On the construction and maintenance of ‘national whiteness’ in settler Canada
Bibliographic record
Abstract
The summer of 2020 was one of unprecedented mass protest and a growing critical awareness around the racist operation of criminal justice systems in North America. Consequently, criminal justice systems have been placed squarely at the forefront of struggles for racial equality and social change. While activists, critical researchers, and legal experts have argued racial justice requires a diversion of communities and resources away from criminal justice systems, the focus in mainstream policy, media, and academic circles has been on reform. In Canada, a focus on reformist responses to this racial violence has been justified through a distorted view of Canada’s criminal justice system. Drawing on the concept of penal nationalism, I argue that Canadian carceral practices must be understood as constitutive of the settler-colonial state and its ideological, material and institutional mooring in racial whiteness as the locus of settler power and sovereignty. To this end, it is not enough to reform specific penal practices, while leaving intact the legitimacy of the criminal justice system in general. What is at stake is the very definition and protection of a national identity, which in the settler colony is predicated on colonial whiteness, Indigenous erasure, and racialized exploitation.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.018 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.005 |
| 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".