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Record W4249626942 · doi:10.22215/rera.v9i1.241

Ethnic Nation No More? Making Sense of Germany’s New Stance on Dual Citizenship by Birth

2015· article· en· W4249626942 on OpenAlexvenueno aff
Elke Winter, Annkathrin Diehl, Anke Patzelt

Bibliographic record

VenueReview of European and Russian Affairs · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGerman legal, social, and political studies
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipGermanPoliticsDutyEthnic groupIdeologyImmigrationPolitical scienceSociologyLawGender studiesPolitical economyHistory

Abstract

fetched live from OpenAlex

While Germany does not allow dual citizenship in principle, since 23 November 2014, children born on German territory to non-German parents are no longer forced at the age of 23 to choose between German citizenship or that of their parents. Rather, they will be able to hold dual citizenship indefinitely. While this may be a far cry from more liberal dual citizenship policies in other countries, the progressive reform of Germany’s citizenship law gains its specific meaning from that country’s tormented history of ethnic nationhood and blood-based citizenship. It is also striking at a time when many countries in the Western world are moving towards more restrictive immigration and citizenship policies. In this paper, we argue that the abrogation of the Optionspflicht [the duty to choose] constitutes a step in leaving behind the country’s notorious tradition of constituting an “ethnic nation.” Our analysis confirms Christian Joppke’s claim that politics and party ideologies matter for the “de-ethnicization” and “re-ethnicization” of citizenship, simultaneous processes that are neither linear nor necessarily path-dependent.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.068
GPT teacher head0.342
Teacher spread0.275 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2015
Admission routes1
Has abstractyes

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