Multiculturalism and vulnerability in the 21st century: Reviewing recent debates and a way forward
Bibliographic record
Abstract
Abstract The death of multiculturalism has been pronounced many times. In spite of this, this political program has proven resilient and the fact of cultural diversity remains inescapable in most liberal democracies. Still, with the rise of the far right, the migrant crises in the United States and Europe and with social movements pushing the boundaries of multicultural theory, it is high time to review multiculturalism, a movement of the late 20th century, and see where it is headed in the 21st century. This article has two objectives. First, after reviewing three debates—anti‐essentialists versus multiculturalism, interculturalism versus multiculturalism and multiculturalism versus the welfare state—I argue that the normative core of multiculturalism is still viable. Second, I argue that multiculturalism remains unable to contribute to some of the most pressing issues of the 21st century and point to a novel approach to the justification of multicultural policies. This justification relies on the concept of vulnerability, a concept that plays an important but undertheorized role in current multicultural theories.
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.007 |
| 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".