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Record W2942010669 · doi:10.1177/1468796819843532

Introduction: Theorizing the civic turn in European integration policies

2019· article· en· W2942010669 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

VenueEthnicities · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsPolitical economyPolitical scienceSociologyFar rightPublic administrationPoliticsLaw

Abstract

fetched live from OpenAlex

Many authors have written about the ‘civic turn’ in European immigrant integration politics and policies that began in the late 1990s, but few have focused on the conceptual or normative dimensions of this turn. The purpose of this special issue is to help correct this situation. In this substantive introductory article, we begin with a discussion of the ‘convergence or national models’ debate that dominated early work on the subject. The next section presents the argument that civic integration is best understood as an ideological turn. It expands ‘good citizenship’ into personal conduct and values, shifts the responsibility for integration from the state to individuals and institutionalizes incentivizing and disciplining integration processes, which are often really just a means of migration control. This is accompanied, we argue, by a civic nationalist conception of membership that appeals to shared political values but defines those values through the culture of the state’s national majority. We then move on to the mechanisms and effects of civic integration, followed by a discussion of its normative analysis, before finally summarizing the articles included in this special issue and how they address the concerns that we have raised.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.831

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 studies0.0010.000
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 head0.024
GPT teacher head0.318
Teacher spread0.294 · 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