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Record W2651061313 · doi:10.5539/ass.v13n7p142

Precedent Names in the Text Field of Marina Tsvetaeva from the Perspective of Free Indirect Discourse

2017· article· en· W2651061313 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

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsnot available
Fundersnot available
KeywordsPersonaPerspective (graphical)Theme (computing)Character (mathematics)Field (mathematics)LinguisticsFunction (biology)PoetryPerceptionLiteraturePhilosophyComputer scienceArtEpistemologyArtificial intelligenceHumanitiesWorld Wide WebMathematics

Abstract

fetched live from OpenAlex

The present study is complied with the topical theme “name in the text” and devoted to the problems of how precedent names as the text-forming elements function in the poems and prose works of Marina Tsvetaeva within the framework of free indirect discourse. The authors study various methods and functions of personal names. The authors make conclusions concerning the frequency of precedent names and the specific character of intertextual elements in Tsvetaeva’s text, which, on the one hand, complicates the perception of the text, but on the other hand, promotes including both the poet and the reader into the world-wide cultural and spiritual environment. The ways of introducing the name and the persona, especially within free indirect discourse, specifies the further existence of the name / or its absence in the text.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.690
Threshold uncertainty score0.999

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 studies0.0020.003
Scholarly communication0.0000.000
Open science0.0030.000
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 head0.033
GPT teacher head0.392
Teacher spread0.359 · 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