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Record W2005987048 · doi:10.7202/1006151ar

Winged Prometheans: Arctic Aviation as Socialist Construction in Stalinist Russia, 1928-1939

2011· article· en· W2005987048 on OpenAlexvenueno aff
John McCannon

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
FundersYale UniversityUniversity of CambridgeUniversity of OxfordHarvard UniversityUniversity of WashingtonPrinceton University
KeywordsHomelandArcticAviationPolitical sciencePublicityFantasyEngineeringLawComputer science

Abstract

fetched live from OpenAlex

During the 1920s and especially the 1930s, aviation became an increasingly important tool in the exploration and development of the USSR’s Arctic territories. The deployment of aircraft proved a boon to scientific research, but Soviet priorities in the Arctic during these years, particularly with the advent of Stalin’s five-year plans from 1928 onward, were more about building infrastructure and realizing the region’s potential for resource extraction. The use of aircraft in the Soviet Arctic was affected accordingly, with economic and developmental needs privileged over scientific ones. In line with its cultivation of pilots as national heroes, the Stalinist regime also took advantage of the international and domestic popular appeal of polar aviators—and the many exploits they staged in 1928 and afterward—to generate positive publicity for itself. Integrating Arctic aviation into the larger cultural framework of socialist realism, the USSR’s state-controlled media complex transformed polar fliers into symbols of Soviet virtue, exemplifying not just trailblazing courage, aptitude, and the mastery of futuristic technology—motifs common to the aviation cultures of many countries during this era—but also self-discipline and collective effort on behalf of the Soviet homeland and the attainment of socialist utopia.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
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 score0.336
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.040
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 head0.031
GPT teacher head0.274
Teacher spread0.243 · 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 teacher head, not a consensus.

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

Citations8
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueScientia Canadensis Canadian Journal of the History of Science Technology and MedicineSame topicArctic and Russian Policy StudiesFrench-language works237,207