<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)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".