Second-Generation Youth's Belief in the Myth of Canadian Multiculturalism
Bibliographic record
Abstract
Second-generation youth in Toronto, growing up in low-income neighbourhoods, interact primarily with other racialized and ethnicized people. Within this environment they do not experience racial prejudice or discrimination, appreciate the cultural diversity around them, and attribute it to Canada's ideology of multiculturalism. However, they are beginning to realize their own subjectivity in relation to the power of White people and institutions. These confident, ambitious, and globally connected young people are likely to get deeply disappointed as they uncover the myths of Canada's multiculturalism in the world beyond their ethnically concentrated schools and neighbourhoods. Acknowledging and addressing their marginality is critical to their inclusion in Canadian society. Les jeunes immigrants de deuxième génération à Toronto ont principalement des contacts avec d'autres groupes appartenant à des populations racialisées et ethnicisées. Dans le cadre de cet environnement, ils ne font pas l'expérience de préjugés raciaux et de discrimination, ils apprécient la diversité culturelle autour d'eux et l'attribuent à l'idéologie du multiculturalisme canadien. Cependant, ils commencent à se rendre compte de leur propre subjectivité par rapport au pouvoir des Blancs et des institutions. Ces jeunes pleins de confiance en eux-mêmes, ambitieux, et connectés au monde entier ont de fortes chances de se trouver extrêmement désappointés lorsqu'ils vont découvrir les mythes du multiculturalisme canadien dans la société au-delà du périmètre de leurs écoles et quartiers à forte concentration ethnique. Il est crucial de reconnaître et de prendre en compte leur marginalité pour rendre possible leur inclusion dans la société canadienne.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.033 | 0.016 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| 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".