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Record W2788308307 · doi:10.22215/etd/2015-11209

Multiculturalism in Western Europe: From Implementation to Failure

2015· dissertation· en· W2788308307 on OpenAlexaff
Konstantin Manyakin

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicMigration, Policy, and Dickens Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsMulticulturalismImmigrationPolitical scienceKingdomCzechWestern europeEuropean unionLawBusinessLinguisticsInternational trade

Abstract

fetched live from OpenAlex

The thesis is focused on the implementation of multiculturalist policies in Europe in the second half of the 20th century until the present period. It takes as its starting point statements by prominent European politicians that multiculturalism has failed and seeks to explain why these statements were made and what their implications are for immigrants to Europe from non-EU countries, with a particular focus on the United Kingdom, French Republic and the Kingdom of Belgium. The thesis first addresses how and why non-EU migrants moved to and settled in Western Europe. Then it examines how and to what extent these Western European governments implemented multiculturalist policies, including analysis of obstacles to their success and examination of available empirical evidence on outcomes for these groups. Finally, the study asks whether declarations about the failure of multiculturalism were followed by a toughening of policies that affect immigrants.

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)0.012
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.009
Scholarly communication0.0090.003
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.423
Teacher spread0.382 · 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 designTheoretical or conceptual
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

Citations0
Published2015
Admission routes1
Has abstractyes

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