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Record W136552078

Social Change in Russia and Eastern Europe: From Party Hacks to Nouveaux Riches

2000· article· en· W136552078 on OpenAlexvenueno aff
Wsevolod W. Isajiw

Bibliographic record

VenueCanadian Slavonic Papers · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Communist Economic and Political Transition
Canadian institutionsnot available
Fundersnot available
KeywordsCommunismPoliticsPolitical scienceState (computer science)European unionCommunist stateEconomic historySocial changePolitical economySociologyHistoryLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

Siu Brucan. Social Change in Russia and Eastern Europe: From Party Hacks to Nouveaux Riches. Westport, CT: Praeger Publishers, 1998. xiii, 118 pp. Tables. Notes. Selected Bibliography. Index. $49.95, cloth. There have been a good number of publications attempting to assess the nature of the changes that have taken place after the Soviet Union collapsed. Most of them have dealt with political and economic changes. Yet, says Brucan, the social is the most stable and enduring facet of the historical process and it can tell us better than the political or economic ones about the state of a society and where it is heading. Brucan attempts to assess the social structure that underlies the current processes in the postSoviet Eastern Europe. He draws a significant distinction between the social developments in Russia and in Central European societies and singles out Romania as a special case. Much of the book deals with Romania, but Brucan is able to point to the basic differences between the social structural bases of change in Central European countries and in Russia. Brucan begins with a discussion of the social structure of communist states before their collapse. He focuses on what previously were the satellites but indicates the difference between the models of their social structure and that of the Soviet Union. Further, in an insightful chapter, he discusses the gradual decline of the working class in Eastern Europe during the communist era. He singles out a number of factors that have produced this decline. Among them, he focuses on the pro-Stalinist orientation of the manual worker of peasant origin as the ideal social base for the Communist Party. He points to the conflict of interests that had inevitably developed within the working class between manual and mental workers. In this conflict the former gradually lost ground while the latter took precedence in the industrial enterprise. Technological developments in industry have functioned to make this gap between the two ever larger. After 1989 a new social structure began to develop. Brucan asserts that the middle class has to be seen as the key factor in the market reform of post-communist societies. But middle classes are not the same everywhere. The striking difference has been between the middle class in Central European nations and the middle class in the Soviet Union. In Czechoslovakia, Hungary and Poland, in spite of four decades of communism, a relatively high percentage of the middle class has survived from the pre-communist period. In Hungary, Communist Party policy favored market economy. In the Central European countries, the farmers themselves were much better prepared for the market economy than were the Soviet kolkhozniki. Russia, as well as other countries of the Soviet Union, was seriously hampered in economic development by its lack of a significant middle class. After seventy years of communism in Russia, virtually no trace of the pre-Revolutionary bourgeoisie remained. Brucan states that in the historical process of social development in Europe, Russia seems to have always been one class behind. In 1917, when the socialist revolution was to take place, the social agent that was to bring about the change-i. …

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.005
Scholarly communication0.0050.005
Open science0.0000.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.037
GPT teacher head0.289
Teacher spread0.251 · 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
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

Citations0
Published2000
Admission routes1
Has abstractyes

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