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Record W2992682279 · doi:10.5539/elt.v13n1p1

A Narrative Discourse Analysis of Poe's Short Story "The Tell-Tale Heart": Implications for Language Teaching

2019· article· en· W2992682279 on OpenAlexvenueno aff
Morad Alsahafi

Bibliographic record

VenueEnglish Language Teaching · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeCohesion (chemistry)Narrative inquiryVariety (cybernetics)LinguisticsDiscourse analysisNarrative structurePsychologySociologyLiteratureComputer sciencePhilosophyArtArtificial intelligenceChemistry

Abstract

fetched live from OpenAlex

This paper employs narrative discourse analysis to analyze Edger Allen Poe's short story "The Tell-Tale Heart" by using two narrative analysis frameworks that focus on the macrostructure (Stein, 1982) and microstructure (Halliday & Hasan, 1976) aspects of the story. The analysis covers the story's purpose, generic structure, and lexicogrammatical cohesion. Findings show that the writer follows a series of structural moves and uses a variety of narrative strategies (e.g. high level of involvement and a wide range of lexical and grammatical cohesive ties) which contribute to the creation of a well-formed text that has effectively achieved its purpose and made its intended effect. This paper argues that there are many ways in which this macro- and microstructure analysis of the story may be exploited in the English language classroom. The paper concludes with a discussion of the implications of the analysis and offers some suggestions and engaging activities for language teaching purposes.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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 score0.114
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.026
GPT teacher head0.331
Teacher spread0.306 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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