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Record W4239532604 · doi:10.1017/cbo9781316459812.002

Communist Famines

2016· book-chapter· en· W4239532604 on OpenAlexaff
Rhoda E. Howard-Hassmann

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsFaminePunishment (psychology)StarvationCriminologyState (computer science)Political scienceOrder (exchange)LawSociologyPsychologyEconomicsSocial psychologyBiology

Abstract

fetched live from OpenAlex

State-induced famine in its worst form is intentional and kills large numbers of people. In a moral sense, it is a state food crime of the highest order; in the legal sense, as will be discussed in Part III, it is not properly singled out as a crime. Reckless famine – continuing policies known to cause mass starvation – is also a serious moral crime that ought to be singled out for punishment under international law. The famines I review in this chapter – in the Soviet Union in the 1930s, China from 1958 to 1962, and Cambodia in the 1970s – were induced by totalitarian communist states. Totalitarianism controls all aspects of people's lives, including how and by what means they can procure food. In the early twenty-first century very few totalitarian states existed, although one, North Korea, is the first case study in Part II. But non-totalitarian states that cause starvation and/or malnutrition follow a path of rights deprivation similar to the paths taken by these three historical examples, depriving their citizens of all civil and political rights, the rule of law, citizenship rights, mobility rights, property rights, and the right to work. They follow these paths of rights deprivation even if they were once democracies, such as Venezuela and perhaps Zimbabwe, or are democracies that colonize other people, as was Israel. Famine in the Soviet Union 1932–33 The Bolsheviks took power in Russia in 1917 with the slogan “peace, land and bread,” renaming the country the Soviet Union. Peasants all over the country reacted to the Bolshevik takeover with a mass movement to seize land; however, this caused productive and distributional difficulties, as much of the grain necessary to feed the cities and to export to foreign countries had come from the large landholdings that the peasants seized (Scott 1998, 206). A four-year civil war followed the Bolshevik Revolution. During this period, the government introduced “war communism,” a “policy that repealed peasants’ land seizures, forcibly stripped the countryside of grain to feed city dwellers, and suppressed private commerce” (Jones 2006, 190). The result was a massive famine that swept several regions in 1921–22, especially in areas that had suffered most from food requisitions.

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)0.000
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 score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.033
GPT teacher head0.236
Teacher spread0.203 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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