On expectations in the aftermath of the ‘refugee crisis’: Ethnographic prospects from a post‐industrial German city
Bibliographic record
Abstract
At the height of the ‘refugee crisis’ in Europe, right‐wing critics challenged refugees’ rights to asylum. One of the ways they did this was by predicting chaotic, doom‐laden futures. In reality, nobody – neither the communities hosting the refugees, nor the refugees themselves – knew what the post‐crisis future would bring. Anthropologists are in a position to consider that future ethnographically. This article discusses the emerging future expectations of one Afghan family in the German post‐industrial city of Bremerhaven. It attends to the local production of representations of the future during the aftermath of the crisis. The author uses this material to literally look ahead with ethnography and to thereby intervene in the broader context of the politics of expectations. He argues that the earlier we anthropologists can provide detailed accounts of how the future is starting to take shape in our fieldsites, the more efficiently we can stop further fearmongering and the deprivation of human rights. These ‘ethnographic prospects’ may allow us to ask different questions and offer different imaginations of the future.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.018 | 0.022 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".