Six-Pass Structural Analysis
A methodology for detecting ring composition and structural centering in the Qur'an.
Overview
Each surah is analyzed through five independent signal passes. No single pass determines the pivot; instead, the final step synthesizes all five signals to identify the point of maximum convergence. This convergence-based approach reduces subjectivity and produces reproducible results.
Ring composition
Ring composition is a literary structure where thematic blocks are arranged in concentric pairs around a central pivot. The opening mirrors the closing, and inner sections mirror each other, forming a symmetric architecture:
A ───────────────── A′
B ───────────── B′
C ───────── C′
X (pivot)The five signal passes
Pass 1: Thematic Segmentation
Divide the surah into contiguous thematic blocks based on shifts in topic, audience, tense, or rhetorical mode.
Pass 2: Ring-Composition Mapping
Identify mirror pairs (A–A′, B–B′) that frame a central element, testing for concentric symmetry.
Pass 3: Keyword and Leitwort Analysis
Track repeated roots and key terms across the surah to locate zones of lexical convergence and density peaks.
Pass 4: Rhetorical-Shift Detection
Mark transitions in speaker, addressee, grammatical person, or discourse type that signal structural boundaries.
Pass 5: Prosodic and Phonological Mapping
Analyze rhyme patterns, clause lengths, and phonological clustering to detect prosodic boundaries and pivot markers.
Convergence synthesis
The sixth step is not an independent signal but a synthesis. The results of all five passes are compared, and the verse or passage where the greatest number of independent signals converge is identified as the structural pivot.
Confidence criteria
| Level | Signals | Description |
|---|---|---|
| High | 4–5 | Strong convergence across independent methods |
| Medium | 2–3 | Partial convergence with consistent direction |
| Low | 1 | Single signal or ambiguous convergence |
Full methodology document
The complete methodology, including worked examples and edge-case protocols, is available on GitHub.
View on GitHub →AI Transparency Note
AI tools were used as research assistants during the analysis process — for tasks such as cross-referencing thematic labels, checking consistency across surahs, and formatting data. All structural judgments (pivot identification, block boundaries, confidence ratings) were made by the human researcher and are fully reproducible from the published data.