Teaching Introduction to Walls to Bridges in a Canadian Prison: A Flipped Classroom Approach to Making Access and Inclusion Matter
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper examines the process of facilitating a unique course offered in a Canadian prison using the Walls-to-Bridges (W2B) approach. Similar to the Inside-Out Program in the United States, W2B in Canada brings campus-enrolled students together with incarcerated students inside the prison walls to study university courses for credit. In this paper, I reflect on a unique first-year level class I offered in Winnipeg, Treaty 1 territory, at Stony Mountain Penitentiary, called Introduction to Walls to Bridges. I emphasize the flipped and open-ended nature of this Introduction to Walls to Bridges class and the dynamic features of the W2B exercises used. The paper contributes to literatures on access to education and inclusive pedagogy by arguing that prison education programs should adopt the flipped classroom and ungrading as core principles to improve access and inclusion in prison education.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it