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Record W4390491084 · doi:10.31542/g68jvs76

The Effect of Russian Colonialism on Ukrainian Cultural Identity

2023· article· en· W4390491084 on OpenAlexaffvenue
Yuliana Boychuk, Rory Dumelier, Yevheniya Fau, Khrystyna Mysiv, Anastasiya Sereda, Alison Toews, Courage White

Bibliographic record

VenueCrossing Borders Student Reflections on Global Social Issues · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsMacEwan University
Fundersnot available
KeywordsUkrainianIdentity (music)Cultural identityColonialismPolitical scienceLanguage changeGender studiesSociologyLaw

Abstract

fetched live from OpenAlex

Ukraine is currently engaged with Russia in an all-out war. Due to this aggression, our research set out to determine if Russian colonialism has impacted Ukraine’s cultural identity, given how Russia has been involved with Ukraine for over a century. The research investigated whether Russian colonialist practices impacted Ukraine’s cultural identity by examining Russian-based propaganda, corrupt policies and institutions, and food. Based on a review of the literature, semi-structured interviews were conducted with student respondents. Analysis of the responses demonstrated that Russian colonialist practices affected Ukraine in both negative and positive ways. The results indicate that Russian colonialist practices have impacted Ukrainian cultural identity. Further research is needed to identify other factors that affect Ukrainian cultural identity. Keywords: Ukraine, colonization, cultural identity, corruption, food, propaganda, Russia.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0030.001
Open science0.0000.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.495
Teacher spread0.449 · 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 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

Citations3
Published2023
Admission routes2
Has abstractyes

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