Perceived racial and cultural discrimination and sense of belonging in Canadian society
Bibliographic record
Abstract
Multiculturalism promises equality and tolerance, yet racialized minorities in Canada continue to report experiences of discrimination. As Canada becomes increasingly culturally and racially diverse, it is important to understand what this discrimination means for sense of belonging in Canada. Using ordinary logistic regressions, we examine the effects of ethnocultural and racial discrimination on sense of belonging. Relying on a theoretical framework of the Rejection/Identification and Rejection/Disidentification models, we test the impacts of discrimination on national sense of belonging and on in-group sense of belonging. We further examine the differential effects of discrimination on sense of belonging for white and non-white Canadians. We find that discrimination negatively impacts both national and in-group sense of belonging among both non-white and white Canadians, although the impact is stronger among racialized minorities. Thus, we argue that discrimination reduces sense of belonging in Canada generally, but is more damaging to those who already occupy a marginalized social position. These findings have implications for our understanding of multiculturalism in Canada.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".