Defeating the Purpose of Multiculturalism: a Case of Hate on Campus
Bibliographic record
Abstract
This paper examines the student newspaper at two Toronto universities: Ryerson university and York university to uncover the manifestation of hate motivated activity on campus. The findings capture a striking contradiction between an articulated understanding of official multiculturalism in Canada and the reality of persistent and pervasive hate activity on campus. I argue that hate motivated activity impacts the social processes of exclusion for racialized students in Toronto universities. Using a social exclusion framework I examine how the nature and extent of hate motivated activity materialize as a means of constructing the ‘Other’ within university spaces. Moreover, these systems of meaning support patterns of domination and exclusion, all the while exposing the fallacy multiculturalism in Canada. In order to bring this to light, this study re-conceptualizes, contextualized and problematizes hate activity in the Canadian context, specifically in relation to the university.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.058 | 0.045 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".