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Record W2517288254 · doi:10.21226/t22p4c

Comparing the Soviet and Chinese Famines: Their Perpetrators, Actors, and Victims

2016· article· en· W2517288254 on OpenAlexvenueno aff
Lucien Bianco

Bibliographic record

VenueEast/West Journal of Ukrainian Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
Fundersnot available
KeywordsFamineIndustrialisationNationalityDevelopment economicsPolitical scienceCommunismChinaKazakhPolitical economyPoliticsEconomicsImmigrationLaw

Abstract

fetched live from OpenAlex

The Soviet (1931-33) and Chinese (1958-62) famines were man-made catastrophes that occurred in underdeveloped states with growing populations during peacetime and affected traditional surplus areas. Both are marked by overly ambitious industrialization strategies at the expense of the rural economy in which central authorities failed to lower grain quotas once famine broke out and even increased them. The famines also had differences, notably regarding the nationality or ethnic question, which played a key role in Ukraine and was present in the Kazakh famine, but was absent in the Chinese famine. Also, Chinese Communist Party leaders, notwithstanding the cruelty of their policies, were much better disposed towards peasants than were the Soviet Bolsheviks. One cannot ascribe murderous intent on Mao’s part, but rather an incoherency of policy and unwillingness to recognize and correct his errors.

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: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.052
GPT teacher head0.313
Teacher spread0.261 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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