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Record W4226393842

Towards World Russians? How Ukrainian Russophones Construct Boundaries from the Russian Federation

2021· article· en· W4226393842 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Politics and Security
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsUkrainianConstruct (python library)Russian federationPolitical scienceGeographyRegional scienceComputer scienceLinguistics
DOInot available

Abstract

fetched live from OpenAlex

The article explores how russophone Ukrainians in Khаrkiv construct boundaries from the Russian Federation in the Russian language. It relies on Norton’s language and identity framework and argues that Ukrainian russophones no longer see Russian speakers from the Russian Federation as part of their imagined community of Russian speakers. It shows that russophones signal the boundaries of their community and exclude Russian speakers from the Russian Federation by using language embedded in local culture, by explicitly articulating the difference of their culture from that of the Russian Federation and through linguistic hybridity which, at the same time, allows them to include bilingual Ukrainians. The research suggests that Ukrainian russophones are in the process of constructing local russophone identities independent from the Russian Federation, meaning that the Russian language is becoming pluricentric.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0180.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.216
GPT teacher head0.518
Teacher spread0.302 · 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