Bibliographic record
Abstract
Part II recounts the formative period of East German economists’ intellectual coming of age during the period of the so-called Thaw. The years after the Soviet break with Stalinism created hopes for a more democratic and decentralized socialism, hopes that were crushed by Ulbricht’s so-called revisionism campaign. This chapter focuses on the short career of Arne Benary (1929–1971), an economist related to Friedrich Behrens at the Central Economic Institute of the Academy of Sciences and a first chosen victim of Ulbricht’s campaign. The field of knowledge at stake was the master discipline of the political economy of socialism, a thus far unwritten chapter in the Marxist tradition. What is a more “true” and less “revised” application of Marx? The top-down Stalinist centralism or more bottom-up approach as ventured, for example, in Yugoslavia, Hungary, or Poland? This chapter shows how the Stasi, similar to the well-known show trials under Stalin, staged a show debate that, in spite of its forced character, allowed Ulbricht to both resist the reform of bureaucratic centralism and claim his policies to be a scientific undertaking.
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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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".