A Narrative Discourse Analysis of Poe's Short Story "The Tell-Tale Heart": Implications for Language Teaching
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".