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Record W4389204109 · doi:10.5430/wjel.v14n1p361

The Ideological Role of Vocabulary in Ukrainian President Zelensky’s Speeches to European and National Parliaments

2023· article· en· W4389204109 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Journal of English Language · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyVocabularyMeaning (existential)PoliticsCritical discourse analysisUkrainianLinguisticsPolitical scienceSociologyLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The present paper is a critical discourse analysis (CDA), which is basically based on Fairclough’s (2001) Three-dimensional model, the descriptive stage. It specifically focuses on the ideological function of vocabulary in the political text. The analyzed data includes six speeches of Ukraine President Zelensky that were delivered virtually to the European and National parliaments from 1-20 March 2022. Moreover, a qualitative approach is employed as the research methodology for data analysis. However, the primary objective of this research is to address the following question: To what extent can vocabulary, specifically in terms of overwording, meaning relations, and wording at the microstructure level, reflect aspects of President Zelensky’s ideological stance as reflected in his speeches? The analysis results indicate that vocabulary reflects a significant part of President Zelensky’s ideology and he highly depends on them to send ideological messages.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.022
GPT teacher head0.318
Teacher spread0.297 · 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