Understanding ethnic prejudice in Canada: insights into status anxiety and middle-class nation-building through immigration
Bibliographic record
Abstract
This paper uses the concept of ethnic prejudice to examine the extent to which fears and anxieties related to immigration and ethnic diversity constitute obstacles to middle-class nation-building in Canada. Our underlying assumption is that if immigration is so contentious and the status anxiety it induces so great, then it should manifest into substantial levels of ethnic prejudice. Moreover, if status anxiety induced by immigration is indeed a widespread concern in Canada, we expect it to translate to significant differences in ethnic prejudice between class and immigration status. To measure ethnic prejudice, we developed an index using common factor analysis with the Provincial Diversity Project. This dataset allows us to create a robust index of ethnic prejudice based on the individual attitudes regarding eight different ethnic groups. While our findings indicate that ethnic prejudice in Canada remains relatively low for the time being, it is evident that a certain level of ethnic prejudice persists and intersects with other forms of status anxieties and competition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".