Bibliographic record
Abstract
Multiculturalism as a form of racelessness has become a mechanism used by neoliberal politics to reproduce and reinvent ways of systemic racism and to maintain white supremacy. The education system has become one of the most important institutions used to promote and reinforce the continuation of white supremacy behind the veil of multiculturalism. By virtue of their experiences and outcomes in school, many Black students are faced with their first form of systemic racism, where their bodies become weaponized and invisibilized, which can have negative effects on their early conceptions of self. The chapter’s discussion will illuminate the recrudescence of anti-Blackness in school, disguised with narratives of colorblindness and fairness that seem to underpin the invisibility of Black youth in Canada’s education system. The paradoxical nature of multiculturalism and its effects on issues of inclusion and exclusion for Black youth in the education system will be interrogated. The discussion centers on Goldberg’s (2007) racelessness theory and uses Fanon’s (1967) theory around anti-Blackness. These theories are employed to delineate how Canada’s unique articulation of raceless politics, through its hallmark of the Multiculturalism Act and historical amnesia, has translated to racially hostile schools crafted to exclude and reject Black bodies. The chapter presents a strong argument that the politics of multiculturalism obscures a racist framework within which school policies, practices, and procedures are guided and implemented, consequently deeming Black youth unwanted, abandoned, and eventually erased.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.029 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".