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Record W4404889259 · doi:10.30970/fpl.2024.137.4483

ФУНКЦІЙНИЙ ПОТЕНЦІАЛ АНГЛІЙСЬКИХ КОГНІТИВНИХ ДІЄСЛІВ У НАРАТИВІ (НА МАТЕРІАЛІ ТВОРІВ М. ЕТВУД)

2024· article· en· W4404889259 on OpenAlexaboutno aff
Iryna Dilai

Bibliographic record

VenueInozenma Philologia · 2024
Typearticle
Languageen
FieldPsychology
TopicMental Health via Writing
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The paper identifi es and systematically substantiates the peculiarities of the functioning of English cognitive verbs in the literary discourse. The material of the study is the cognitive verbs in the novels of the famous contemporary Canadian postmodernist writer Margaret Atwood. The research is theoretically framed by the works on lexical and functional semantics of (cognitive) verbs (K. Aijmer, D. Biber, M. A. K. Halliday, A. Fetzer, I Dilai, etc.), as well as by the works on narratology (I. Bekhta, G. Freytag, etc.). The study’s methodological framework is a comprehensive application of the corpus analysis of empirical textual data using the psychometric software LIWC, discourse analysis, and M. A. K. Halliday’s metafunctional analysis. Based on the classifi cation of linguistic metafunctions proposed by M. A. K. Halliday, the cognitive verbs in the narrative mainly perform the ideational metafunction, which lies in construing human experience. The ideational linguistic metafunction of the cognitive verbs realized in the works refl ects the internalized structures of the narrator’s and characters’ consciousness and appeals to the reader’s active mental cooperation. Thus, English cognitive verbs in the narrative act as explicit markers of the internalization of speech. They are represented by the corresponding mental processes which alternate in the narrative as a linear sequence of processes with diff erent intensity. It has been revealed that the distribution of the cognitive verbs in the novels is mostly uneven, although refl ects a certain pattern associated with the canonical principles of the structural organization of the narrative. According to the narrative arc (Boyd et al., 2020), the cognitive verbs become most frequent in the middle and closer to the end of the narrative as explicit markers of cognitive tension – the third (main) stage of narrative progression. Cognitive tension refl ects the peak of psychological tension due to the need to resolve the confl ict and constitutes the climax of the narrative. At this stage, characters are actively engaged in confl ict resolution making numerous mental efforts. In addition to the ideational metafunction, some cognitive verbs, in particular those which serve as discourse markers, such as I think, I believe, perform the interpersonal metafunction. As a rule, they are found in the direct speech (dialogues) and aim to construct a common mental experience, cooperation with the interlocutor (and the reader) based on intersubjectivity. LIWC helped to inventory, quantify, and follow the distribution of the cognitive verbs in seven novels by M. Atwood. Deviations in the frequencies and distribution are perceived as indicators of the author’s idiostyle and genre peculiarities. Thus, the realization of the functional potential of the cognitive verbs and the peculiarities of their distribution in the narrative canvas have been identifi ed and substantiated. Key words: cognitive verbs, narrative, function, metafunction, M. Atwood.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.027
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.015

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 head0.069
GPT teacher head0.406
Teacher spread0.337 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2024
Admission routes1
Has abstractyes

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