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The Hungry Steppe

2018· book· en· W4230405021 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCornell University Press eBooks · 2018
Typebook
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
Fundersnot available
KeywordsKazakhFamineQuarter (Canadian coin)Political scienceSoviet unionPopulationAncient historyHistoryGeographyEconomic historyPolitical economyDevelopment economicsPoliticsLawSociologyArchaeologyDemography

Abstract

fetched live from OpenAlex

This book examines the Kazakh famine of 1930-33, one of the most heinous and poorly understood crimes of the Stalinist regime. As part of a radical social engineering scheme, Josef Stalin sought to settle the Kazakh nomads and force them into collective farms. More than 1.5 million people perished as a result, a quarter of Soviet Kazakhstan’s population, and the crisis transformed a territory the size of continental Europe. Drawing upon a wide range of sources in Russian and in Kazakh, the book brings this largely unknown story to light, revealing its devastating consequences for Kazakh society. It finds that through the most violent means the Kazakh famine created Soviet Kazakhstan and forged a new Kazakh national identity. But the nature of this transformation was uneven. Neither Kazakhstan nor Kazakhs themselves became integrated into the Soviet system in precisely the ways that Moscow had originally hoped. Seen from the angle of the Soviet east, a region that has not received as much scholarly attention as the Soviet Union’s west, the Stalinist regime and the disastrous results of its policies appear in a new light.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.377
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.218
Teacher spread0.176 · 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