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Record W3161474554 · doi:10.3968/12030

On Double Narration in Wuthering Heights

2021· article· en· W3161474554 on OpenAlexvenueno aff
Omar Ezzaoua

Bibliographic record

VenueStudies in literature and language · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeNarratologyNarrative networkNarrative structureLiteratureKey (lock)Narrative criticismNarrative inquiryHistoryComputer scienceArt

Abstract

fetched live from OpenAlex

Emily Bronte’s Wuthering Heights is characterized by the narrative mechanisms and techniques it employs. Building on its structure, the novel is obviously rich in its underlying elements that are worth examining. One of these elements is the choice of multiple narrators and the complex organization of narrative time. This theoretical framework deals mainly with narration and narrative techniques as approached by structuralist narratology. As an approach that examines narration and its major hybrids, narratology delves into a structural study of Wuthering Heights allowing for a deep examination of the underlying narrative elements in the novel. Having said that, it is believed that the study of narratology is pertaining in the sense that it sheds light on how the narrative structure of the novel puts into question the status of the narrators as reliable sources. This structure also mystifies the story giving the reader a chance to decipher the intent of the characters involved as both narrators and characters. Without taking such structure into account, the readers are missing some key elements in understanding and interpreting the stories told by the narrators.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.244

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 communication0.0000.000
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 head0.029
GPT teacher head0.299
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

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 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
Published2021
Admission routes1
Has abstractyes

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