Multiculturalism and nationalism: Models of belonging to diverse political community
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 Nationalism and multiculturalism seem to have opposed approaches to cultural diversity. However, recent calls for a “multicultural national identity” suggest the need for more nuances on this relation. This paper responds to these calls, and to some initial doubts, providing an account of political community, nationalism and multiculturalism conducive to fuller theorization of a multicultural form of national identity. To do this, it conceptualizes nationalism, liberalism and multiculturalism in terms of the concept of political belonging. It argues that, understood as modes of belonging, nationalism and multiculturalism are not incompatible, and indeed, the latter is a reconstruction of the symbolic terms of social unity of the former. Specifically, multiculturalism entails a form of national belonging that makes cultural difference a constitutive part of national unity, opening possibilities of diverse political community. Key to understanding this is distinguishing between general and specific valuations of diversity within multiculturalism. The paper further argues that a multicultural national identity is a viable alternative to existing models of national identity, offering both a different set of normative prescriptions and an alternative understanding of existing national identity in liberal‐democratic states.
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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