Mapping the Red Threat: The Politics of Exclusion in Leipzig Before 1914
Bibliographic record
Abstract
Abstract Long before Adolf Hitler’s appearance clouded democracy’s prospects in Germany, election battles had provided a means to disadvantage “enemies of the Reich” in the polling booth. Such battles were waged not only during election campaigns but also when new voting laws were legislated and district boundaries were redrawn. Maps produced during the Imperial era informed voters, statesmen, and social scientists how the principle of the fair and equal vote was compromised at the subnational level, and new maps offer historians an opportunity to consider struggles for influence and power in visual terms. This article argues that local, regional, and national suffrages need to be considered together and in terms of their reciprocal effects. On the one hand, focusing on overlaps and spillovers between electoral politics at different tiers of governance can illuminate the perceptions and attitudes that are constitutive of electoral culture. On the other hand, using cartography to supplement statistical analysis can make election battles more accessible to nonspecialist audiences. Combining these approaches allows us to rethink strategies of political exclusion in Imperial Germany’s coexisting suffrage regimes. Focusing on Leipzig and its powerful Social Democratic organization opens a window on larger issues about how Germans conceived questions of political fairness in a democratizing age.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".