Trajectories of Multiculturalism in Germany, the Netherlands and Canada: In Search of Common Patterns
Bibliographic record
Abstract
Abstract In the mid-1990s, Canadian scholarship introduced an important distinction between historically incorporated national minorities and ethnic groups emerging from recent immigration. While the former may be accommodated through federal or multinational arrangements, multiculturalism has come to describe a normative framework of immigrant integration. The distinction between these analytically different types of movements is crucial for Taylor's and Kymlicka's influential theories, but the relations between different types of national and ethnic struggles for rights and recognition have remained unexplored in much of the subsequent scholarly literature. This article starts from a theoretical position where different types of diversity are viewed as highly interdependent in practice. Tracing the trajectories of multiculturalism in three different countries, the article aims to identify common patterns of how changing relations between traditionally incorporated groups affect public perceptions of and state responses to more recent immigration-induced diversity. More specifically, it asks the following question: to what extent does the absence (in Germany), discontinuation (in the Netherlands) and exacerbation (in Canada) of claims on ethnocultural grounds by traditionally incorporated groups influence the willingness of the national majority/ies to grant multicultural rights to immigrants?
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.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".