The Heartwork in Walls to Bridges: A Conversation on Anti-Colonial Education and Incarceration
Bibliographic record
Abstract
In Fall 2019 and Winter 2020, the University of Alberta (UofA) facilitated Walls to Bridges (W2B) courses at the Edmonton Institution for Women (EIFW), the federal penitentiary for all prairie provinces, which includes Treaties 1-11, as well as peoples from the north.While the students' engagement with course content was the basis for the academic credit they received, much of the facilitators' course development emphasized Indigenous pedagogical frameworks.This article is a candid discussion between facilitators (also known as the Unruly Women), knowledge keepers, and W2B alumni on their insights and motivations for their involvement.We discuss the impact of anti-colonial education, including circle pedagogy, in carceral settings, and the signifi cance of including Elders and knowledge keepers in our W2B classrooms.Indigenous ways of knowing, learning, and sharing is our focal point.Given that Indigenous Peoples are incarcerated at much higher rates than non-Indigenous Peoples, we create space where Indigeneity and Indigenous worldviews hold priority.Our non-Indigenous co-conspirators also weigh in on the navigation of Indigenous-centred spaces and off er advice to those who seek to engage in Indigenous-centred work.Throughout our paper there are quotes from our W2B 10 th Anniversary panel entitled "The Heartwork in Walls to Bridges: A Conversation with Elders on Incarceration", as well as excerpts from discussions following that event.These are refl ections on our collective thought process on the signifi cance of Elders, ceremony, and critical Indigenous Studies shaping our W2B classroom. BEGINNINGSSavage: Tân'si, Savage Bear nitisikason, Montreal Lake First Nation ohci niya.Hi, my name is Savage Bear and
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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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.053 | 0.039 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.009 | 0.020 |
| 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".