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Record W2027658089 · doi:10.3167/104503006780441629

How the Federal Republic Became an Immigration Country: Norms, Politics and the Failure of West Germany's Guest Worker System

2006· article· en· W2027658089 on OpenAlexaboutno aff
Triadafilos Triadafilopoulos, Karen Schönwälder

Bibliographic record

VenueGerman Politics & Society · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationCitizenshipPolitical scienceGermanPoliticsImmigration lawFederal republicImmigration policyLawPolitical economySociologyGeography

Abstract

fetched live from OpenAlex

With the passage of a new citizenship law in 1999 and the so-called Zuwanderungsgesetz (Migration Law) of 2004, contemporary Germany has gone a long way toward acknowledging its status as an immigration country (Einwanderungsland). Yet, Germany is still regarded by many as a “reluctant” land of immigration, different than traditional immigration countries such as Canada, the United States, and Australia. It owes this image to the fact that many of today’s “immigrants” were in fact “guests,” invited to work in the Federal Republic in the 1950s, 1960s and 1970s and expected to leave when they were no longer needed. Migration was meant to be a temporary measure, to stoke the engine of the Economic Miracle but not fundamentally alter German society. The question, then, is how did these “guest workers” become immigrants? Why did the Federal Republic become an immigration country?

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.011
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.246
Teacher spread0.239 · 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 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

Citations47
Published2006
Admission routes1
Has abstractyes

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