MétaCan
Menu
Back to cohort
Record W2089301573 · doi:10.1080/1369183x.2011.576192

The Two Faces of Liberalism: Islam in Contemporary Europe

2011· article· en· W2089301573 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of TorontoInstitute on Governance
Fundersnot available
KeywordsLiberalismImmigrationNeutralityPublic sphereNormativePoliticsPrejudice (legal term)Context (archaeology)Political economyIslamInequalityPolitical scienceSociologyClassical liberalismEconomic liberalismDiversity (politics)Law and economicsLaw

Abstract

fetched live from OpenAlex

This article addresses long-standing normative claims that liberalism—understood as the priority of economic and political liberty, neutrality in the public sphere, the universal application of human rights, and the requirement to treat all subjects equally—is inadequate in the context of deep, migration-driven diversity. Beginning with the assumption that liberalism-as-an-integration-paradigm must be evaluated empirically, the article examines the immigration experience of two liberal states: France and the United States. Evidence from these important countries of immigration demonstrates that universal, difference-blind policies that are suspicious of claims to difference in the public sphere reduce prejudice and promote positive intra-community attitudes (France), while limited income support and dynamic labour markets promote economic integration (the United States). Far from being an inadequate relic of a simpler age, liberalism is the best framework for accommodating diverse societies.

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.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.278
GPT teacher head0.444
Teacher spread0.166 · 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