Rethinking Global Justice: Black Women Resist the Transnational Prison-Industrial Complex
Bibliographic record
Abstract
This article explores the role of Black women in the U.S. and Canadian anti-prison movements and argues that anti-prison organizing is a critical site of anti-globalization activism. In the context of domestic economic restructuring, aggressive military interventions abroad and the global spread of neoliberal socio-economic policy agendas, increasing attention has been paid to the multifaceted global justice movement. At the same time, commentators in the U.S. and Canada have noted the underrepresentation of Black participation in anti-globalization activism. By identifying the work that prisons do in absorbing and disenfranchising communities who are surplus to the needs of global capital, and repressing and deflecting dissent to U.S. imperialism, the author reframes anti-prison activism as an overlooked site of global justice organizing. The article identifies six types of antiprison work—human rights advocacy; challenging “post-incarceration sentences”; campaigns for decarceration through legal reform; moratorium activism; abolitionist organizing for alternatives to the prison-industrial complex; and campaigns for the release of political prisoners—and examines Black women's labor as community activists and movement intellectuals in each.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.026 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".