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Record W1497589055

“The Single Thin Ray That Fell upon the Vulture Eye”: Systemic Grammar and Its Use in Edgar A. Poe’s “The Tell-Tale Heart”

2013· article· en· W1497589055 on OpenAlexvenueno aff
Noor Abu Madi, Shadi Neimneh

Bibliographic record

VenueStudies in literature and language · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCharacter (mathematics)IdeologyFellGrammarSubjectivityLinguisticsDilemmaLiteratureIdentity (music)PhilosophyPsychologyAestheticsSociologyEpistemologyArtLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper argues that Edgar Allan Poe applies many linguistic techniques in his short story “The Tell-Tale Heart” in order to express the dilemma of a character caught up in the trap of a confused identity, lost subjectivity, and uncontrolled performances. Poe’s story is analyzed in detail to examine the psychology of the performed actions. We analyze some aspects of clause construction, paying attention to ‘who is doing what to whom.’ This analysis is twofold: defining clause construction and discussing why this analysis is relevant and why Poe’s story was chosen for this kind of analysis. In addition, we prove through the grammatical and linguistic choices made by Poe the madness and the instability of the main character in the story. We will be selective in choosing the lines to be discussed, as we focus on the lines that show the main character’s detachment from himself and the rational world he belongs to. The language Poe uses in describing the mad act of killing the old man is highly committed to the psychology and ideology of the text along with its complexities in defining why a man would do what the narrator did.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.025
GPT teacher head0.268
Teacher spread0.243 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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