J<scp>ohn</scp> P. R. E<scp>icher</scp>. <i>Exiled Among Nations: German and Mennonite Mythologies in a Transnational Age</i>.
Bibliographic record
Abstract
John Eicher’s Exiled among Nations: German and Mennonite Mythologies provides excellent material to think with on the topics of nationalism, national indifference, and how groups construct and modify their own collective narratives and mythologies. His focus is on two different mobile populations who share a common point of origin in southern Russia—present-day Ukraine—in the 1870s. They fashioned divergent accounts to explain their movements, their history, and their place in the world. Entering and leaving states as diverse as Canada, the Soviet Union, Germany, and Paraguay, their presence illustrated how those nations attempt to instrumentalize groups on the move for their own purposes just as those populations embraced or rejected those national identities for reasons of their own. The detailed demonstration of these processes is a major strength of this book. Eicher’s analysis placed these itinerant groups from the margins at the center of understanding the reach and limits of nationalism...
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.009 |
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".