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Record W4309388251 · doi:10.4000/monderusse.13269

Soviet teachers of Russian in Indian universities in the late 1950s and early 1960s

2022· article· en· W4309388251 on OpenAlexaff
Severyan Dyakonov

Bibliographic record

VenueCahiers du monde russe · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsSocial Sciences and Humanities Research Council
Fundersnot available
KeywordsCommunismPolitical scienceSoviet unionGovernment (linguistics)FriendshipPoliticsDiplomacyCultural exchangeEconomic historySociologySocial scienceLawHistoryEthnology

Abstract

fetched live from OpenAlex

During the 1950s, the Soviet Union and India established relations termed as “friendship” involving cultural exchange, development aid and trade. To support its political and economic cooperation with India, Moscow launched a large-scale public diplomacy campaign. Teaching Russian became one of the core elements of this effort. The article examines the experiences of the first Soviet teachers of Russian at Indian universities and explores the Soviet Union’s efforts to promote its socialist version of modernity through language classes. As the paper argues, even though these teachers had no special training in propaganda, they sought to promote the Soviet Union’s socialist ideas in many ways. This provoked reactions from Indian university and government officials who saw the classes of Soviet teachers as an instrument to carry out communist propaganda.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.407

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.008
GPT teacher head0.176
Teacher spread0.168 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

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