Resisting ‘progressive’ carceral expansion: lessons for abolitionists from anti-colonial resistance
Bibliographic record
Abstract
This article documents a government-led strategy to more closely integrate policing with community-based ‘crime prevention’ programming in the city of Winnipeg, Manitoba, Canada. These initiatives have targeted neighborhoods with large Indigenous populations. In this article I illustrate how community-level conflicts over responses to ‘crime’ are also sites of settler colonial conflict, and how settler colonial governance is reproduced and resisted through the governance of crime. Interviews with politicians, policy-makers, bureaucrats in the crime prevention branch of the provincial government, and directors and employees at community-based organizations suggest that the pursuit of the government strategy of integrated crime prevention and suppression has been more a project of attempting to ‘manage’ urban Indigenous people than serve their interests. As a contribution to abolitionist thought and theory, this article profiles sites of conflict between community police and community-based organizations over definitions of the ‘crime’ problem in city-center Winnipeg. These examples highlight a kinship between carceral abolitionist and decolonial politics.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".