Segregation versus Self-determination: A Black and White Debate on Canada's First Africentric School
Bibliographic record
Abstract
The racialized realities faced by Black students provide an impetus to examine the controversy over Canada's first Africentric Alternative School, approved on January 29, 2008 by the Toronto District School Board. Newspaper articles, editorials and letters to the editor, as well as speeches by delegations and trustees, provide a rich snapshot of the arguments put forth in the heated political debate. Through the lens of equity and critical race theory, the diverse and divergent stances taken by both proponents and opponents of the school are analysed and understood. A conceptual framework of hidden and public transcripts (Scott, 1990) is used to distinguish arguments that reflect on the lived experiences of Black students from those that reiterate the dominant discourses of liberal democratic societies. The findings emerge as three opposing sets of themes that reveal a transcript reflective of the ongoing salience of racism within ostensibly liberal claims to racial equality.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.071 | 0.037 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".