MétaCan
Menu
Back to cohort
Record W2022595068 · doi:10.1080/00905990701848432

On the Other Side: The Russian–Ukrainian Encounter in Displacement, 1920–1939

2009· article· en· W2022595068 on OpenAlexaff
Mykola Soroka

Bibliographic record

VenueNationalities Papers · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHomelandUkrainianEmigrationIdentity (music)EmpireNational identityPolitical sciencePeriod (music)RivalrySubject (documents)AlienationSociologyPolitical economyGender studiesHistoryAestheticsLaw

Abstract

fetched live from OpenAlex

From the historical and scholarly perspective, Russian-Ukrainian relations occupy a unique niche in inter-ethnic relations, as they are framed by long-standing “fraternal rivalry,” imperial and colonial experience, and a complex understanding of identity, which are still at work today. Although the phenomenon has been the subject of numerous studies, little has been done to explore their encounter in emigration. The scope of these works has been limited to examining the relations between these two groups in the familiar territory of their homelands (i.e. either in the Russian Empire, the Soviet Union, or in the period following the dissolution of the Soviet Union), and scholars have usually not made a strict delimitation between the concepts of the homeland and hostland. But certainly, the Russian–Ukrainian encounter in emigration in the interwar period created its own discourse, which differed from the pre-revolutionary and Soviet discourses. Its main features are (1) further alienation and a feeling of difference between the two groups; (2) a growing metaphysical view of the homeland, accompanied by ethno-symbolic manifestations of national identity; and (3) a sense of mission to preserve their culture and identity from erosion engineered by the Bolsheviks.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0100.009
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0020.003
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 head0.022
GPT teacher head0.293
Teacher spread0.271 · 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 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

Citations4
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueNationalities PapersSame topicSoviet and Russian HistoryFrench-language works237,207