Making National Identity Salient: Impact on Attitudes toward Immigration and Multiculturalism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Does national identity necessarily have exclusionary effects when it comes to immigration attitudes or is it possible that some national identities act as inclusive forces? While research in Europe and in the US points to the former, one of the long-standing explanations for Canada's success with immigration has been the central place played by immigration and multiculturalism in its national identity. Using the Canadian case, this research tests the possibility that some national identities might represent an inclusive force. It does so through a nationally representative survey experiment (N = 1500) where respondents' national identity was primed before answering questions on immigration and multiculturalism. The analysis shows that contrary to previous results obtained in the Netherlands, priming Canadian identity does not increase anti-immigration attitudes. A new prime designed to isolate the effect of national identity even decreased these exclusionary attitudes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it