Bibliographic record
Abstract
How can multicultural governance respond to our increasingly complex migratory world? Migration-related cultural diversity poses a number of highly pressing challenges for liberal democratic societies. This book explores what forms of migrant accommodation and multicultural citizenship we can envisage in the contemporary context of increased migration, where newcomers are often not given a settlement perspective. Through both theoretical contributions and empirically orientated analyses, this book provides insights into how theories and practices of multicultural citizenship and migrant integration are adapting, and might adapt in the future, to the new patterns of international migration and mobility that we are seeing in today's world. Key Features Addresses head-on the challenges that increased and diversified international migration and mobility pose to theories and practices of multicultural citizenship Brings together renowned sociologists of migration and transnationalism with the foremost theorists of multiculturalism and citizenship, and also introduces some of the most promising younger scholars working in these areas Covers European, North American and Australian cases and dynamics, going beyond common regional limitations of discussions on international migration or multiculturalism Addresses a cross-disciplinary readership including law, political science, sociology and political theory Contributors Rainer Bauböck , European University Institute, Italy Jozefien De Bock , Gent University, Belgium Bouke de Vries , Max Planck Institute for the Study of Religious and Ethnic Diversity, Germany Matteo Gianni , University of Geneva, Switzerland Geoffrey Brahm Levey , University of New South Wales, Australia Edward Koning , University of Guelph, Canada Will Kymlicka , Queen’s University, Canada Sune Lægaard Philosophy , Roskilde University, Denmark Peggy Levitt , Harvard University, USA Tariq Modood , University of Bristol, UK Justyna Salamońska , University of Warsaw, Poland Anna Triandafyllidou , European University Institute, Italy
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".