A structural-cognitive semiotic analysis of the Qur'anic story "Joseph and his Brothers"
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".