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Record W3163359415 · doi:10.46586/zfk.2001.173-185

Ethnizität und Kultur in multikulturellen Gesellschaften und im virtuellen Raum

2001· article· en· W3163359415 on OpenAlexaboutno aff
Sabine Hornberg

Bibliographic record

VenueZeitschrift für Katalanistik · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicReligion, Theology, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionMulticulturalismCitizenshipPolitical scienceImmigrationAutonomyEthnic groupCultural identityPolitical economySociologyLawPoliticsInternational trade

Abstract

fetched live from OpenAlex

One of the distinguishing features postulated for European states is the ethnic, cultural and linguistic homogeneity of their citizens. This homogeneity, for both affected societies and individuals, is increasingly manifested as dysfunctional due to increasing migratory movements within Europe, immigration from non-European countries, regional aspirations for autonomy and, finally, the integration of European states into the European Union.
 Against this backdrop and in the midst of a rapidly advancing internationalization, made possible for example by the use of the internet etc., the question of the relationship between citizenship and ethnic and cultural identity in Europe is raised urgently and in a new light: Should European states or the European Union apply a concept of constitutional patriotism in the future or a conception of multicultural nationalities, as Canada, a traditionally host state for immigrants, did in 1971? To what extent do the media play a role? Can they contribute to the development of an understanding between states that responds to multiculturalism in Europe?

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.002

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 head0.028
GPT teacher head0.307
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2001
Admission routes1
Has abstractyes

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