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Record W7116964343 · doi:10.5430/wjel.v16n3p52

Symbolic Anthropology and Literary Analysis: The Scarlet Letter as a Lens for Modern Social Issues

2025· article· W7116964343 on OpenAlexvenueno aff
Reji George

Bibliographic record

VenueWorld Journal of English Language · 2025
Typearticle
Language
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsDepictionThe SymbolicAllegoryLiteral and figurative languageLiteral (mathematical logic)Symbolic data analysisRelevance (law)

Abstract

fetched live from OpenAlex

This study examines Nathaniel Hawthorne’s masterpiece, The Scarlet Letter (1850), through a comprehensive analysis of its symbolic framework, addressing whether the novel's abstract elements are symbolic or merely allegorical. The novel amalgamates psychological intuition with symbolic depiction to explore themes of sin, guilt, and redemption. The research aims to analyze how Hawthorne employs symbolic elements in creating characters and situations, gauge the validity of these symbolic representations in distinguishing between allegory and symbolism, demonstrate how these symbols match real characters and happenings, and examine their contemporary relevance in addressing modern social issues. Drawing on symbolic anthropology, including Turner’s (1967) and Geertz’s (1973) interpretive approaches, the study adopts a qualitative descriptive methodology to scientifically analyze the novel’s major symbols. The findings reveal that the symbols effectively operate across literal and figurative levels, surpassing allegory in illustrating societal realities. These results offer significant input for addressing contemporary social problems through literary depiction and analysis.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.023
GPT teacher head0.339
Teacher spread0.317 · 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 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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