Ontario Safe Schools Act and its Effects on Racialized Immigrant Youth: 'School to Prison Pipeline'
Bibliographic record
Abstract
It is recognized that racialized youth are significantly over-represented in the Canadian Criminal Justice System relative to their population percentages. Research also determined that similar disproportion exists with respect to school discipline. Similar to US research, a number of Canadian studies found that racialized youth are being disproportionately affected by zero-tolerance school disciplinary policies, such as the Ontario Safe Schools Act. Such research also hypothesized about a "school-to-prison pipeline" for minority youth. This MRP explores the link between immigration, policing, and school disciplinary policies in Ontario, Canada. In particular, the MRP investigates the racialization of school disciplinary procedures that largely affect immigrant youth, and the criminalization of certain behaviors that may lead visible minority youth, including immigrant youth, to having disproportionate police contact. The findings suggest that there is a relation between racial disproportion of school suspensions and expulsions and the racial disproportion in the likelihood of youth- police contact.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".