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Sacred Texts as Civilizational Algorithms: A Cybernetic–Theological Analysis of the Opening Invocation of Jawshan Kabir
2026-05-10

This article develops a conceptual, systems-theoretic, and governance-oriented interpretation of the opening invocation of Jawshan Kabir. The study addresses a central gap in contemporary governance and resilience scholarship: the persistence of operational sophistication without sufficient ontological grounding. In response, it proposes Civilizational Algorithm Theory (CAT) as a framework for translating sacred semantic structures into governance-relevant conceptual architecture. Methodologically, the article adopts a qualitative conceptual design based on purposive textual sampling and document analysis. The opening invocation is treated as a bounded proof-of-concept corpus, and its ten divine attributes are analyzed through semantic extraction, theological hermeneutics, cybernetic mapping, and conceptual systems modeling. The findings show that the invocation forms a coherent sequence of ontological grounding, mercy distribution, targeted care, value generation, stabilization, scale, temporal continuity, epistemic awareness, corrective restraint, and purposive wisdom. These functions are further translated into governance roles and KPI-style evaluative variables. The study contributes theoretically by linking Islamic theological semantics with cybernetic systems thinking, methodologically by offering a replicable ontology-to-governance translation model, and practically by outlining a normative design framework relevant to institutional resilience, strategic evaluation, and complex governance environments. The article concludes that sacred invocational language may be read not only devotionally, but also as a compressed architecture of legitimate and sustainable order.

Ссылка для цитирования:

MoghadasNian S., JafarTayariDehaqani M., MoghadasNian S. 2026. Sacred Texts as Civilizational Algorithms: A Cybernetic–Theological Analysis of the Opening Invocation of Jawshan Kabir. PREPRINTS.RU. https://doi.org/10.24108/preprints-3115202

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