Transformative Praxis With Incarcerated Women: Collaboration, Leadership, and Voice
Bibliographic record
Abstract
The ever-widening net of racialized and colonial carceral spaces and neoliberal strategies of control of poor and marginalized communities means that social workers are often in positions of complicity with or resistance to (or both) the norms and practices of the carceral state. Feminist praxis can both challenge and inadvertently sustain the prison industrial complex and its harms. Approaches that even tacitly accept some of the basic premises and discourses of correctional frameworks risk being co-opted and transmuted into racialized and colonial control practices. In this article, I use the example of Walls to Bridges Canada, a social justice iteration of the U.S.-based Inside-Out Prison Exchange Program, to illustrate the power and significance of feminist praxis that privileges the epistemic vantage point of those who are incarcerated. This article will examine how collaborative work with criminalized and incarcerated women (in classrooms, research studies, and community work) moves beyond “giving voice,” to promoting leadership by those with lived experience and shared collaborative knowledge production.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.051 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| 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".