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Record W2166871461 · doi:10.37693/pjos.2013.5.9756

A structural-cognitive semiotic analysis of the Qur'anic story "Joseph and his Brothers"

2013· article· en· W2166871461 on OpenAlexvenueno aff
Hamada Hassanein

Bibliographic record

VenuePublic Journal of Semiotics · 2013
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
FundersUniversity of Portsmouth
KeywordsSemioticsNarrativeArgumentativeContext (archaeology)LinguisticsNarratologySociologyNarrative inquiryIconTerminologyArgumentation theoryEpistemologyLiteraturePhilosophyHistoryArtComputer science

Abstract

fetched live from OpenAlex

Previous work on the semiotics of Qur'anic narration is fairly sparse (cf. Hassanein, 2009b). In this paper I try to provide a semiotic analysis of the Qur'anic story Joseph and his Brothers, employing a model developed by Grambye and Sonne (2003a). The model draws heavily on the theories of structural-cognitive semiotics (Greimas, 1983; Brandt, 2004) and narratological terminology (Prince, 2003) and illustratively analyses the story's descriptive, narrative and argumentative propositional content, as well as enunciation, and discourse. The three facets of propositional content are examined in light of 3-D, transport, and thematic models, respectively. Enunciation and discourse are tested against enunciative and discursive models, respectively. The application of the general model offers a rich and insightful analysis of the story's text in a religious context, with particular focus placed on enunciation to serve a religious purpose. I find the model efficient in analysing narratives in a genre other than the folktale for which it was developed and I am thus recommending testing it against other narrative texts to figure out what it can further reveal.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.272
Teacher spread0.252 · 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 designObservational
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

Citations1
Published2013
Admission routes1
Has abstractyes

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