Bibliographic record
Abstract
During the hundred years examined in this volume, ordinary Germans discovered a and powerful attachment to the nation. But throughout this period, national loyalties competed with preexisting loyalties to the locality and the region. The resulting tension made it difficult for Germans to assign clear priorities to one kind of symbolic attachment over another.Focusing on the east German state of Saxony, the contributors to this volume refuse easy resolution of that tension, seeking instead to illustrate how local, regional, and national cultures commingled, diverged, and influenced each other over time. By considering both the erosion and the persistence of traditional identities and regional boundaries, these essays help to restore an appreciation of regional of seeing, suggesting they really did matter--in their own right, and for the nation as a whole.Topics considered include the expansion of a German reading public, Jewish emancipation, the formation of socio-moral milieus, working-class leisure, the expansion of the public sphere, the rise of consumer co-operatives, gendered attempts to fashion the new liberal man, and degradation rituals in the 1920s. Presenting to English-reading audiences the fruits of cutting-edge research conducted in Saxon archives since 1989, the contributors offer innovative ways to reassess the larger sweep of German history.This book serves as a how-to guide for the study of any region in history. Beyond its primary appeal to European historians, it will also speak to students and scholars in comparative politics and sociology.James Retallack is Professor of History, University of Toronto.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".