Not just civic or ethnic, but mostly cultural: Conceptions of national identity and opinions about immigration in Quebec
Bibliographic record
Abstract
Abstract It is well documented that individuals' conceptions of national identity influence their opinions about immigration. The most well‐known ideal types to capture conceptions of national identity are the civic and ethnic conceptions. Yet, this dichotomy does not reflect contemporary debates about immigration, which are framed in cultural terms. Scholars have thus proposed a cultural conception of national identity. The relationship between this conception and immigration, however, remains contested. Using an innovative approach to studying public opinion, this research analyses qualitative interviews conducted with individuals from the general public to investigate how each conception of national identity influences opinions about immigration in the context of Quebec, Canada. It shows that the cultural conception of national identity is related to both positive and negative opinions about immigration. This is explained by an evaluation mechanism whereby individuals evaluate if immigrants are included or excluded from the national group based on their (non)conformity to specific markers of identity. This evaluation is subjective and is often informed and substantiated by mediatised information about immigration‐related issues.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".