“It’s not a system that’s built for me”: Black youths’ unbelonging in Ontario schools
Bibliographic record
Abstract
Through exploration of Black Caribbean youths’ feelings of unbelonging and exclusion in Ontario schools, this paper argues that how Whiteness is systemically engrained in the education system negatively affects the learning experiences of Black youth due to predetermined measures of belonging. The present article draws on data from 32 qualitative interviews and four focus groups with 23 Black Caribbean youth. Findings reveal challenges youth commonly face when navigating relationships with peers and educators that hinder their academic success. These challenges are exacerbated for youth who are also involved in the state’s child protection system. Participants described feeling disadvantaged in the education system due to perceptions that they are academically unprepared and thus unable to excel. Through a Critical Race Theory and Anti-Black Racism analytical framework, the findings illustrate how systemic barriers coupled with the normalization of low expectations impact the educational success and opportunities of Black Caribbean youth in Ontario schools.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".