“The Real Toronto”: Black Youth Experiences and the Narration of the Multicultural City
Bibliographic record
Abstract
Looking back at more than 45 years of official multicultural policy in Canada, this article asks us to reflect on how the experiences of Black male youth in Toronto and the ways in which race, class, age, and gender intersect to alienate them from full access to educational and employment opportunities disrupt the construction of Canada as an “ideal” and “exceptional” multicultural democracy, built on unchallenged assumptions of inclusivity and impartiality. While Canadian multiculturalism promises respect for cultural differences, free education, and access to jobs for all citizens regardless of national origin or ethnicity, this promise is not borne out in the lives of poor black youth. The article centres the voices and perspectives of these youth by drawing on the documentary The Real Toronto, filmed during the “Summer of the Gun” in 2005, and on the findings from a three-year transnational study of the effects of violence on Black youth in Canada and Jamaica, collected eight years later in 2013. The article argues that Black urban male youth, by situating their precarious life experiences on the margins of a set of core Canadian values, destabilize our understanding of Canadian society by revealing the ways in which they are routinely criminalized and pathologized, and by demanding greater access to upward mobility.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.054 | 0.030 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".