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Record W4367046863 · doi:10.1017/9781009233088.013

Saving Socialism from the GDR

2023· book-chapter· en· W4367046863 on OpenAlexaff
Till Düppe

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsCapitalismOpposition (politics)BattleSocialismPoliticsPolitical sciencePolitical economyClass conflictCommunismPower (physics)Economic historyLawSociologyHistoryAncient history

Abstract

fetched live from OpenAlex

This chapter tells the story of the hope generation’s contribution to Perestroika through the example of Dieter Klein (1931), a progressive political economist of capitalism and science manager at Humboldt University. Welcoming the changes in light of the vision of overcoming Stalinism and inviting the young generation into the reformist movement against the Old Communists that stubbornly occupied the Politburo, the reform of socialism turned into a battle for its very survival. Contributing to the reformist research during Perestroika at first with a political economy of capitalism based on peace rather than class conflict, he was increasingly disconnected from the civil rights movement due to his confidence in inner-party reform. He was in the position of realizing his reformist ideas at the Party Congress in December 1989 when the party transformed from a force with constitutional power into parliamentary opposition in the system of the class enemy.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0030.003
Open science0.0000.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.003

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 head0.061
GPT teacher head0.239
Teacher spread0.177 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicEuropean history and politicsFrench-language works237,207