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Record W4400321507 · doi:10.1080/00085006.2024.2348986

“Hurry! Be smart! Buy Trump’s fine art!” Transforming winged phrases from Soviet films into headings in Russian newspapers

2024· article· en· W4400321507 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

VenueCanadian Slavonic Papers · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperLinguisticsTransformational leadershipLiteratureHistorySociologyArtMedia studiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper examines the transformational features and usage of “winged phrases” – in this case quotations from Soviet films that have become catchphrases in spoken and written Russian – in the headings of articles from three Russian newspapers. Data were selected between 2017 and 2018 from Komsomol′skaia pravda (Moscow edition), Izvestiia, and Literaturnaia gazeta. First, the authors identify the transformational features of these phrases; second, they analyze the nature of their usage, drawing on Mikhail Bakhtin’s theory of dialogism. The study reveals two new types of transformations (grammatically associative and lexical) that have not been identified in previous literature. It also demonstrates how the prism of dialogism affords new insights into the socio-historical and multi-voiced richness of winged phrases, extending our understanding of the complex plasticity of the structural and heteroglossic features of these phrases over time.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.290
Teacher spread0.270 · 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