Not just civic or ethnic, but mostly cultural: Conceptions of national identity and opinions about immigration in Quebec
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 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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.001 | 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