The Resilience of Multiculturalism
Bibliographic record
Abstract
Illuminates contemporary debates on citizenship, identity and multiculturalism through the lens of Tariq Modood's thought Written by world-leading scholars on multiculturalism from Europe, Canada, Australia and India Spans different aspects and fields of multiculturalism, including secularism, nationalism, migration and ethno-cultural diversity and inclusion Discusses contemporary and salient topics alongside a historically informed consideration of the evolution of the debates in which these rest Identifies and critically elaborates on a particular intellectual strand of multiculturalist thinking: that of Tariq Modood Bringing together world-leading scholars from the Global North and Global South, this book interrogates ideas of multiculturalism and their resilience in politics, policy and culture. To do so, each chapter critically engages with one of the foremost thinkers and proponents in the field, Tariq Modood. As a whole, the book contributes to debates on citizenship and diversity, identity and belonging, and nationalism and migration. Multiculturalism has been dubbed a failure by many politicians and scholars, even some sympathetic to cultural diversity. Yet, it remains alive in political, policy and scholarly debates, proving remarkably resilient and influential on issues of citizenship, diversity and identity. Modood’s thought has had a demonstrable impact through cutting edge contributions across Politics, Sociology and Social Policy, creating a point of orientation for multiculturalists and those who are critical of multiculturalism.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.052 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.002 | 0.004 |
| 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".