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Record W3020587236 · doi:10.1017/s0960777320000168

A Science Show Debate: How the Stasi Staged Revisionism

2020· article· en· W3020587236 on OpenAlexaff
Till Düppe

Bibliographic record

VenueContemporary European History · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDemocracyGermanCharacter (mathematics)Political scienceEconomic historyPolitical economyPublic administrationLawSociologyHistoryPolitics

Abstract

fetched live from OpenAlex

Abstract In the early years of the East German Democratic Republic, in particular after Khrushchev's speech breaking with Stalinism, there was hope among leading economists that new reforms would usher in a truly democratic socialist economy. The newly-founded Institute for Economics at the Academy of Sciences, under the leadership of Friedrich Behrens, put forward ideas that the party soon labelled ‘revisionist’. This article reconstructs the dismantling of this group of reformist economists using detailed documents of the secret police, the Stasi. I demonstrate how the Stasi staged a show debate analogous to the known show trials under Stalin. In spite of its forced character the show debate allowed the party to both resist reform and claim their policies to be a scientific undertaking.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.040
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.043
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0140.057
Scholarly communication0.0210.011
Open science0.0010.009
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0050.001

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 head0.140
GPT teacher head0.276
Teacher spread0.136 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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