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Record W2899828003 · doi:10.3138/seminar.54.4.008

<i>Willkommenskultur</i> Documented: Precarious <i>Heimat</i> in <i>Can’t Be Silent</i> (2013), <i>Land in Sicht</i> (2013), and <i>Willkommen auf Deutsch</i> (2015)

2018· article· en· W2899828003 on OpenAlexvenueno aff
Maria Stehle

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSociology and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeePrecarityGermanAgency (philosophy)Gender studiesSovereigntyPoliticsSociologyPolitical scienceHumanitiesGeographyEthnologyLawSocial scienceArtArchaeology

Abstract

fetched live from OpenAlex

Three German documentary films released before the height of the arrival of mainly Syrian refugees in 2015/16 document the precarious lives of refugees in Germany and highlight the complex politics that underlie Germany’s Willkommenskultur. Can’t Be Silent follows the tour of musician Heinz Ratz, who performs with artists he met in refugee camps across Germany; Land in Sicht documents the journeys of three refugees applying for asylum in Germany; and Willkommen auf Deutsch illustrates the struggles of a rural district politician, of the inhabitants of a small town, and of selected refugee families as an increasing number of refugees are assigned to the area. A close reading of the films uncovers the tensions between depictions of precarity and Heimatlosigkeit on the one hand and a sense of defiant agency expressed by the refugee characters on the other hand. This insistence on maintaining a sense of sovereignty over their movements, on forming communities, and on staying in Germany offers glimpses into formations of global cohabitation that question racialized notions of national belonging.

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)0.003
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.378
Teacher spread0.342 · 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.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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