Bibliographic record
Abstract
The 1956 Hungarian Revolution highlighted the failures of Stalinist policies and violent suppression as a means of establishing legitimacy, prompting the Hungarian government under János Kádár to adopt the New Economic Mechanism (NEM) in 1968. Aimed at revitalizing Hungary’s domestic market and export potential, the NEM replaced rigid Soviet-style central planning with a more flexible, market-conscious system of autonomous enterprises. This study examines the social and economic impacts of the NEM on the Hungarian working class throughout the 1970s and 1980s, focusing on how its implementation eroded working-class power, constructed new forms of class conflict between factory workers and the new managerial elite, and eroded socialist work culture as societal values shifted towards consumerism. Drawing from firsthand accounts, factory surveys, and state records, this study reveals how workers experienced the contradictory repercussions of NEM. Rather than strengthening the working class, as Marxist-Leninist theory would dictate, Kádár’s NEM precipitated wage stagnation, recreated class conflict, and effectively diminished the power of the Hungarian working class. These contradictions, embodied in labor practices and social dynamics, paved the way for the decline of the socialist state and the rise of individualism within the Hungarian workplace and beyond.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.008 |
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".