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Record W4402499325 · doi:10.1515/9781399537278

The Resilience of Multiculturalism

2024· book· en· W4402499325 on OpenAlexaboutno aff

Bibliographic record

VenueEdinburgh University Press eBooks · 2024
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsResilience (materials science)MulticulturalismSociologyPolitical scienceMaterials sciencePedagogy

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.755
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.265
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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