THE GOTTSCHEERS: FROM A CENTRAL EUROPEAN ENCLAVE TO ASSIMILATION IN NORTH AMERICA
Bibliographic record
Abstract
ABSTRACT In the fourteenth century, a group of German‐speaking settlers established a colony named Gottschee in what is now Slovenia. The results of World War II banished Gottscheers from Slovenia and they relocated to Austrian refugee camps. While some Gottscheers later moved to other European countries, a large number migrated to existing Gottscheer or German communities in North America as refugees, practising cultural traditions in large cities such as New York and Cleveland. Like other German immigrants who initially settled in large American cities, many Gottscheers moved from urban areas and assimilated, soon after arrival or a few generations later. In fact, Gottscheers are one embodiment of the collective assimilation experience of Germans who migrated to North America. Formerly, once large communities of German immigrants who contributed to both United States and Canadian society have all but disappeared. This study investigates how and why Gottscheers created discrete ethnic communities in the United States and Canada that flourished in the pre‐ and postwar years. It also analyses the present state of Gottscheer communities to determine why Gottscheers and their descendants may assimilate into American society.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".