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Record W4380631568 · doi:10.6000/1929-4409.2020.09.231

Semiotic Discourse of the Socio-Political Sphere of the Modern Russian Society: Challenges of Multimodality

2022· article· en· W4380631568 on OpenAlexvenueno aff
Andrei V. Babaitsev, Sergey G. Voskoboynikov, Tatyana V. Schukina, Inna V. Topchiy

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage, Communication, and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSemioticsPoliticsMultimodalityMeaning (existential)Sign (mathematics)SociologyCivil discourseSocial sciencePolitical communicationPublic sphereLinguisticsEpistemologyDiscourse analysisPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The article discusses the semiotic discourse of the socio-political sphere of modern Russian society. The modern challenges of multimodality of the socio-political sphere of modern Russian society are analyzed, taking into account the interdisciplinarity of meaningful sign and symbolic constructions. The semiotic discourse of the socio-political sphere is a certain type of interdisciplinary analytical research of socio-political communication aimed at interpreting the process of creating semantic meaning as social and political practice. Multi- in the term “multimodality” implies the fact that there are a number of modes available for reproduction by all members of a social or political community. The semiotic approach to the socio-political sphere of Russian society is utilized to accomplish this study. Furthermore, Studies of the concept of discourse, as well as the specifics of the use of this concept and the development of discourse analysis as a method in the socio-political scientific field, are taken into account to achieve the purpose of the study.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.080
GPT teacher head0.383
Teacher spread0.303 · 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 teacher head, not a consensus.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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