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Record W4415616405 · doi:10.1080/00085006.2025.2544378

The Russian language of Odesa: simplification and reduction of grammatical complexity

2025· article· en· W4415616405 on OpenAlexvenueno aff
Nerea Madariaga, Olga Romanova

Bibliographic record

VenueCanadian Slavonic Papers · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsnot available
FundersEusko Jaurlaritza
KeywordsReduction (mathematics)Russian languageNatural languageSemantics (computer science)Grammar

Abstract

fetched live from OpenAlex

The Russian language of Odesa, in southern Ukraine, arose in a specific language contact situation where a large number of migrants from different countries settled in the city and had to learn Russian in a non-native way, giving rise to a new contact variety of Russian. Later on, successive generations of speakers acquired this variety as a native language. This article focuses on the most salient morphosyntactic properties of this variety as it was spoken from around 1850 to 1950, before it fell into disuse: (i) the simplification of grammatical gender, (ii) the partial reduction of case forms, (iii) the levelling of argument marking (toward the genitive case), and (iv) uninflected prepositional subordinative clauses. The authors show that the morphosyntactic traits that characterized this variety were not random or attributable to Odesa citizens’ low command of the Russian language, but that they responded to general processes of language de-complexification, namely reduction and simplification of grammatical complexity. More specifically, the phenomena analyzed in this paper underwent cross-linguistically well-known general principles: economy and transparency, phonologically motivated morphological reassignments, and morphological rearrangements on the basis of existing noun classes.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.324
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

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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueCanadian Slavonic PapersSame topicDiscourse Analysis and Cultural CommunicationFrench-language works237,207