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Record W2343000160 · doi:10.1515/jbnst-2000-0405

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

2000· article· en· W2343000160 on OpenAlex
Ulrich Blum, Léonard Dudley

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJahrbücher für Nationalökonomie und Statistik · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGermanEconomicsAutocracyGerman economyPeriod (music)Institutional changeEconomyPolitical scienceEconomic historyDemocracyGeographyPhilosophyLawPolitics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.307
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it