Unsettled Landscapes: Czech and German Conceptions of Social and Ecological Decline in the Postwar Czechoslovak Borderlands
Bibliographic record
Abstract
After the Second World War, Czechoslovakia expelled around three million Germans from the border region known as the Sudetenland. Close to two million Czechs and Slovaks moved from the country's interior to settle the region. Though cut off from their former homes by international borders soon hardened by the Cold War, expelled Germans vigorously engaged their homelands. They wrote odes to their lost Heimats, travelogues of trips through ‘Sudeten’ landscapes, critical essays on Czech management of the borderlands, and demands for restitution or return. For Czechoslovak settlers and communist officials, the specters of Germans past and present were persistent reminders of the shortcomings of resettlement and the need to consolidate conditions in the borderlands. This article traces an ongoing conversation from the 1940s to the 1980s among communist officials, Sudeten German expellees, communist reformers, and dissidents about the Czechoslovak borderlands. By the 1980s, most parties to the conversation had come to understand the borderlands in ecological terms, stressing the inter-relationship of mental, social, and physical geographies. Though communist officials and critics largely shared a diagnosis of borderland decline, there was a wide range of prescriptions for how to restore the region to ecological and social health.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".