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Record W4410411484 · doi:10.5430/wjel.v15n7p179

Her Story and His: A Dynamic Journey Through British Literary Evolution

2025· article· en· W4410411484 on OpenAlexvenueno aff
Sadia Ali, Tamim Aljasir

Bibliographic record

VenueWorld Journal of English Language · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryLiteratureComputer scienceArt

Abstract

fetched live from OpenAlex

This study examined the lexico-grammatical patterns in British literature authored by men and women across four distinct historical periods: the Romantic era, the Post-Romantic and Victorian era, the early 20th century, and the 21st century. Biber’s Multidimensional (MD) analysis has been employed in the present study to identify the linguistic features that characterise four periods. The analysis of the 200 text documents reveals many significant gender differences related to culture and historical expectations. These features are most distinctively exposed in post-Romanticism and Victorian periods; women writers emphasize the narrative discourse. On the other hand, male writers use informative discourse and direct language. These differences have been reduced in the 21st century, pointing to a change of literary context in the form of a change of gender roles and comparability of narratives. By presenting data and arguments to this research question, this study provides important findings to the discourses on gender and literature. The analysed material reveals male and female writers’ contributions to the formation of literature and its evolution.MD provides a novel approach to considering gender differences in written communication with a focus on gender, written communication technologies, and history.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.680
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.009
GPT teacher head0.249
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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