“FEAR OF STIGMATISATION”: BLACK CANADIAN YOUTHS’ REACTIONS TO THE IMPLEMENTATION OF A BLACK-FOCUSED SCHOOL IN TORONTO
Bibliographic record
Abstract
The black-focused school introduced by the Toronto District School Board (TDSB) in 2009 has been controversial since the community consultations were conducted. Although media representations and Dei (1996, 2006) provide insight into what Torontonians’ reactions are to the proposed black-focused school, the reactions of black youth in the Greater Toronto Area (GTA) have not been documented. We address that gap by providing a representation of black youths’ voices obtained via focus groups. Black youth from the GTA voiced their agreement with elements of the proposal, but resisted the idea of implementing the proposal by creating a separate school. These findings pose important implications for those in education fields, the TDSB and the black-focused school proponents.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.040 | 0.013 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| 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".