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Конотативний зріз термінів шовінізм та фанатизм у публіцистиці Дмитра Донцова

2019· article· en· W2998125708 on OpenAlexaboutno aff
Оксана Микитюк

Bibliographic record

VenueЛінгвостилістичні студії · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Social Development in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

An overview of the stylistic resources of the Ukrainian language would be incomplete without the texts of the main ideologist of the Ukrainian nationalism, Dmytro Dontsov, since some terms-notions in Dmitriy Dontsov's journalistic texts receive new connotative coloring due to the author's definitions.
 The article analyzes the phenomenon of transition of the linguistic units of one style to another in the linguistic reality. It has been revealed that the terms in the journalistic texts of Dmytro Dontsov are emotionally colored due to the author’s definitions and the use of numerous tropes (metaphors, antitheses, comparisons). New semantic shades of terms in the works of D. Dontsov contribute to better ideological understanding of the basic political realities.
 The case study proves that the terms chauvinism and fanaticism are considered in all sources as negative only, so it is worth analyzing the interpretation of these concepts not only in the scientific literature, but also in journalism, which influences the formation of the reader’s position and is an effective factor in the creation of political thinking. In addition, it is impossible to give definitely negative assessment of the terms that are still functioning in the Ukrainian politics.
 The study has revealed that the attributive modifiers for the terms chauvinism and fanaticism used in the texts of the Tribune of the Nation do not coincide with the attributive modifiers fixed in the dictionaries and the political science and philosophy research papers. The author argues that the retrospective review of socio-political terms, which after the collapse of the USSR Empire returned to the cultural heritage of an independent state, is obviously an important issue.
 It is proved that the emotional texts of Dmytro Dontsov are the basis for the formation of a state-building outlook of the citizens and the basis for the theoretical understanding of the contemporary socio-political problems.
 
 Key words: socio-political terms, chauvinism, fanaticism, Dmytro Dontsov, connotation.
 
 References
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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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.688
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.012

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 head0.015
GPT teacher head0.349
Teacher spread0.334 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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