Capped – closing off the School to Prison Pipeline: an anti-racism workshop for educators to reduce suspensions of African Canadian learners
Bibliographic record
Abstract
Systemic institutionalized racism in the school system is manifested by teachers’ biases due to unconscious or conscious white supremist beliefs, attitudes, and behaviours which has impacted academic achievement of African Canadian (AC) learners in preschool, elementary, and secondary school. AC learners struggle at a disproportionate rate with the consequences of zero tolerance policies in the school system leading to practices of exclusionary discipline, also known as detention, suspension, or disciplinary alternative education placements which normalize prison. This is a precursor to the criminal justice system that leads to incarceration which is referred to as the School to Prison Pipeline (STPP). A two-day anti-black racism workshop will address unconscious teacher bias in a safe space and help them build skills of cultural competency, cultural humility, and culturally responsive teaching. This program is supported by evidence-based literature, and the theoretical frameworks of Critical Race Theory, the Stages of Change Model and the Canadian Model of Occupational Performance and Engagement. Various teaching methods will be used to engage the participant to reflect on their bias and an evaluation, funding, and dissemination plans are described.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".