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Record W2499380394 · doi:10.1057/9781137283207_14

Toward a Cosmopolitan and Inclusive European Identity? Negotiating Immigrants’ Inclusion and Exclusion in the New Europe

2013· book-chapter· en· W2499380394 on OpenAlexaff
Oliver Schmidtke

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsNormativeCitizenshipPolitical sciencePoliticsIdentity (music)National identitySociologyCollective identityGender studiesPolitical economyLawAesthetics

Abstract

fetched live from OpenAlex

The evolving European identity has captured the imagination of researchers and the wider public alike. It denotes the prospect of a viable and stable social and political community beyond the nation-state. Yet, as the social preconditions for making such a transnational community become feasible, a European collective identity has become the subject of competing political projections and normative expectations. Klaus Eder (2001; 2004) has repeatedly shed light on how the concept of collective identity suffers from a lack of analytical rigor and from burgeoning normative claims. This also holds true for the link between an emerging European identity and the integration of migrants into the fabric of European societies: one of the key normative expectations concerning an emerging European identity and transnational citizenship regime is that they are cosmopolitan in nature and, at least to a large degree, exempt from the exclusionary underpinnings of traditional national identities (Eder and Giesen 2000). A European identity is widely expected to provide an environment in which traditional modes of social closure and discrimination against the allegedly inferior ‘other’ become less and less acceptable as a social and political practice. As compared to national identities the European one is inherently defined by its lack of cultural or ethnic foundation and thus structurally prepared to deal with Europe’s internal cultural, ethnic, and religious diversity (Dell’Olio 2005; Dietz 2004).

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.004
Research integrity0.0000.001
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 head0.026
GPT teacher head0.277
Teacher spread0.251 · 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.

Study designTheoretical or conceptual
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

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

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