Review of <i>Imagined Homes: Soviet German Immigrantsin Two Cities</i> By Hans Werner
Bibliographic record
Abstract
In his Imagined Homes, Hans Werner compares the acculturation experience of ethnic Germans from Poland and the Soviet Union who settled in two migration waves in what at first glance seem to be very different cities: Winnipeg, Canada, and Bielefeld, Germany. A closer look, however, reveals that the two cities had much in common. Both were medium-sized urban centers that had integrated newcomers before. The mentalities of their inhabitants were shaped as much by Cold War thinking as by a capitalistic outlook. Still, Werner shows that although the migrants who came to Winnipeg in the 1950s and to Bielefeld in the 1970s shared similar backgrounds, they settled into their host societies along largely divergent paths. While notions of citizenship, state settlement policies, and economic and housing conditions differed as much as did the cultural context in both Canada and Germany, the acculturation of migrants was shaped even more by their different perceptions of their new homes. Migrants to Winnipeg expected to be in the minority again in Canada. Those who moved to Germany somewhat prematurely expected to arrive "at home" and had to come to terms with "the contradictions of the imagined and the real." Taking readers through the macro-level of national discourses about immigration and the micro-levels of economic and political integration as well as cultural and social adjustment, Werner shows that structural and perceptive differences led to the ironic result that the process of integration into the host society was less complicated for migrants to Winnipeg. Conflicting notions about the place of immigrants among native Germans and the ethnic German newcomers in Bielefeld, on the other hand, led to the formation of a very distinct Soviet German identity.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".