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Record W3183964494 · doi:10.5539/elt.v14n8p8

Transitivity Structure of Research Articles: Variations across Sections

2021· article· en· W3183964494 on OpenAlexvenueno aff
Xindi Zheng

Bibliographic record

VenueEnglish Language Teaching · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTransitive relationRhetorical questionLinguisticsPsychologyMeaning (existential)Interpersonal communicationRelation (database)Experiential learningMathematics educationSocial psychologyComputer scienceMathematics

Abstract

fetched live from OpenAlex

This study investigates the transitivity structure of research articles and examines the variations of process types across sections, aiming to explore experiential meaning construction in academic discourse. The corpus for this study consists of ten applied linguistics research articles published from 2018 to 2020 in the top journals of the discipline. Features of the transitivity structure of the whole research articles are presented. The distribution of different process types is also examined in relation to the rhetorical purposes and stylistic features of the abstract, introduction, method, results and discussion, and conclusion sections. The findings reveal that transitivity structure could largely reflect the stylistic features of research articles, which are characterized as being informative and objective as well as interpersonal. Results also show that the distribution of process types may contribute to the regularity manifestation and purpose fulfillment of distinctive sections. This study has implications for both academic writers and academic writing courses.   

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.349
Teacher spread0.316 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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