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Record W2503236319 · doi:10.3167/gps.2012.300101

Assessing the Consequences of the 1999 German Citizenship Act

2012· article· en· W2503236319 on OpenAlexfundno aff
Triadafilos Triadafilopoulos

Bibliographic record

VenueGerman Politics & Society · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
FundersYork UniversityAustralian Government
KeywordsCitizenshipGermanNaturalizationPoliticsLawPolitical scienceNationalityImmigrationStatelessnessSociologyMainstreamHistory

Abstract

fetched live from OpenAlex

This special issue of German Politics and Society offers a retrospective look at the German Citizenship Act (Staatsangehörigkeitsgesetz, StAG), which passed in 1999 and came into force in 2000.1 The law was and continues to be understood by many academics, policymakers, and lay commentators as constituting a “paradigm shift” in German citizenship policy and, by extension, prevailing conceptions of German nationhood. The introduction of the law of territory (jus soli), in particular, was greeted as a welcome acknowledgement of Germany’s de facto status as a modern immigration country. Children born and raised in Germany would no longer be rendered permanent foreigners as a consequence of the dominance of the law of descent (jus sanguinis) in the Reichs- und Staatsangehörigkeitsgesetz (RuStAG), 1913. Proponents assumed that the reduction of the residency requirement for naturalization would also allow greater numbers of long settled immigrants to assume the rights and privileges of German nationality. Just as importantly, Germany would join the European mainstream as regarded citizenship policy. The stigma associated with its traditionally ethnic conception of nationhood would give way to a more positive, civic identity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0030.003
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.056
GPT teacher head0.374
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations3
Published2012
Admission routes1
Has abstractyes

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