Blood, Sweat, and Tears: The Rise and Decline of the East German Economy, 1949–1988 / Blut, Schweiß, Tränen: Aufstieg und Niedergang der ostdeutschen Wirtschaft, 1949–1988
Bibliographic record
Abstract
Summary The rise of the East-German economy in the 1950s and 1960s and its decline in the 1970s and 1980s is difficult to explain by neoclassical economics. However; the observed life cycle may be explained by the inclusion of concepts from old and new institutional economics and from functional economics. Three distinct periods may be identified. During the “blood” period of forced development and autocratic rule, the information system and the system of property rights were roughly compatible with the economic structure. Then, in the “sweat” period, an attempt to overtake the capitalistic societies failed. Finally, in the “tears” period, economic decline could only be disguised by unsustainable inflows of foreign capital. This institutional explanation of the East-German collapse is tested with data for the period 1949-1988 and cannot be rejected.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".