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Record W1872443591 · doi:10.1017/cbo9780511730399.007

Soviet Agrarian Policy as a Pacification Tool

2010· book-chapter· en· W1872443591 on OpenAlexaff
Alexander Statiev

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAgrarian societyPolitical scienceEconomic systemEconomic historyPolitical economyEconomicsHistoryArchaeologyAgriculture

Abstract

fetched live from OpenAlex

The agrarian reform was a spearhead of the Rebel Army. –Ernesto Guevara The Soviet counterinsurgency doctrine has never been articulated as a counterinsurgency manual, yet Politburo members knew how the Bolsheviks had won the civil war. Facing a nationalist challenge in the borderlands, the Soviet regime responded with a set of political, military, and security measures it had developed during the civil war. Its stick-and-carrot strategy presumed a combination of populist reforms intended to win the hearts of the poorer majority, harsh punitive policies designed to eliminate all actual and potential opponents, and amnesties that would allow all proletarians and their class allies who accidentally found themselves among the Soviet enemies to switch sides. The Soviet leaders viewed insurgency as an inevitable class conflict; therefore, it was vital to involve the borderland poor in the struggle against the resistance, organize them politically and militarily by appointing them to local administrative positions and by raising peasant militia, and lead them against the enemies of the proletarian state. This class struggle was to culminate in a social revolution controlled and directed by the state. Agrarian reform was the major political means with which to instigate a class conflict that would end with the destruction of the resistance by the joint force of the state security agencies, the proletariat, and its allies – peasants. The theory of class conflict, however, was always ambivalent with regard to the peasantry.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.006
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.027
GPT teacher head0.242
Teacher spread0.215 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicRegional Socio-Economic Development TrendsFrench-language works237,207