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Record W3155457156 · doi:10.24908/iqurcp.10278

The Grey and Hazy Politics of Famine: An Evolving American Disposition to Russian Hunger

2018· article· en· W3155457156 on OpenAlexvenueno aff
Kelley Humber

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsFaminePoliticsPolitical sciencePeriod (music)Political economyDevelopment economicsEconomic historyLawHistorySociologyEconomics

Abstract

fetched live from OpenAlex

Perception of famine in the 20th century transformed from a Malthusian reality to a governmental liability. In this period of developmental flux, assistance to the starving in the form of humanitarian aid took on a new political role on the international stage. As part of an Undergraduate Summer Student Research Fellowship (USSRF) my research broadly examined the political utility of humanitarian aid between the United States and the Soviet Union during this period. This research project was centrally concerned with tracing the conceptual evolution of the ‘hungry Russian’ in American society. My research looked specifically at incidences of famine in the Soviet Union from 1921-1922, 1932-1933, 1946-1947, and American perceptions thereof. In order to understand the central question of this research project I combined secondary source reading with primary source archival research. I draw on archival material in the form of newsprint from the New York Times during the respective famines. I traced the frequency of discussion of Russian famine and compared this to the relative scale of famine devastation in the form of human deaths. Ultimately this process allows for conclusions to be drawn on the role of political interests in the humanitarian endeavor of providing relief during these famines. This research has both theoretical implications for understanding the conceptual shift surrounding humanitarian aid that occurred during this time period; as well as practical implications for critically-minded citizens who are interested in the historical weight behind state-sponsored humanitarian aid.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.083
GPT teacher head0.345
Teacher spread0.262 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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