Rethinking liberal multiculturalism: Foundations, practices and methodologies
Bibliographic record
Abstract
The article introduces a special issue on “Rethinking Liberal Multiculturalism: Foundations, Practices and Methodologies.” The contributions presented in this special issue were discussed during the conference « Multicultural Citizenship 25 Years Later », held in Paris in November 2021. Their aim is to take stock of the legacy of Kymlicka’s contribution and to highlight new developments in theories of liberal multiculturalism and minority rights. The contributions do not purport to challenge the legitimacy of theories of multiculturalism and minority rights, they rather aim at deepening our understanding of the foundations of liberal multiculturalism and of its practical implementation, sensitive to social scientific dynamics of diverse societies. Without abandoning the general idea that cultural minorities should be granted special minority rights, the essays presented raise new questions about three dimensions central to liberal multiculturalism: its normative foundations, its practical categories of minorities or groups, and its fact-sensitive methodology. Taken together they shed light on the renewed variety of theories of liberal multiculturalism highlighting their complexity and internal disagreements. To introduce these articles, the article first draws a brief historical overview of the debates on multiculturalism since the 1990s (section 1). It then highlights the distinctive aspects of Kymlicka’s contribution (section 2) and identifies recent research trends (section 3). Doing so, it explains how the articles gathered here both expand on those distinctive aspects and explore those new research avenues. The section 4 summarizes the contributions.
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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 | 0.030 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.008 | 0.047 |
| Scholarly communication | 0.019 | 0.015 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".