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Record W4250997139 · doi:10.1017/cbo9780511626494

States Against Migrants

2009· book· en· W4250997139 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2009
Typebook
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDeportationImmigrationPoliticsMandatePolitical scienceState (computer science)Immigration policyPublic policyPolitical economyPublic administrationSociologyLaw

Abstract

fetched live from OpenAlex

In this comparative study of the contemporary politics of deportation in Germany and the United States, Antje Ellermann analyzes the capacity of the liberal democratic state to control individuals within its borders. The book grapples with the question of why, in the 1990s, Germany responded to vociferous public demands for stricter immigration control by passing and implementing far-reaching policy reforms, while the United States failed to effectively respond to a comparable public mandate. Drawing on extensive field interviews, Ellermann finds that these crossnational differences reflect institutionally determined variations in socially coercive state capacity. By tracing the politics of deportation across the evolution of the policy cycle, beginning with anti-immigrant populist backlash and ending in the expulsion of migrants by deportation bureaucrats, Ellermann is also able to show that the conditions underlying state capacity systematically vary across policy stages.

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.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.218
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.021
GPT teacher head0.237
Teacher spread0.215 · 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