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Record W6981997897

Global perspectives on the politics of multiculturalism in the 21st century a case study analysis

2014· article· en· W6981997897 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismPoliticsDiversity (politics)Harmony (color)Context (archaeology)Cultural diversityPolitical philosophyPerspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

"Multiculturalism is now seen by many of its critics as the source of intercultural and social tensions, fostering communal segregation and social conflicts. While the cultural diversity of contemporary societies has to be acknowledged as an empirical and demographic fact, whether multiculturalism as a policy offers an optimal conduit for intercultural understanding and social harmony has become increasingly a matter of polarised public debate. This book examines the contested philosophical foundations of multiculturalism and its, often controversial, applications in the context of migrant societies. It also explores the current theoretical debates about the extent to which multiculturalism, and related conceptual constructs, can account for the various ethical challenges and policy dilemmas surrounding the management of cultural diversity in our contemporary societies. The authors consider common conceptual and empirical features from a transnational perspective through analysis of the case studies of Australia, Canada, Columbia, Germany, New Zealand, the United Kingdom and Uruguay. This book will be of interest to students and scholars of political science, comparative politics, international studies, multiculturalism, migration and political sociology"..

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0120.024
Scholarly communication0.0100.006
Open science0.0010.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations1
Published2014
Admission routes1
Has abstractyes

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