The Primary Relational Anchoring Principle (PRAP): A Proposed Domain-General Structural Framework for Relation-Dependent Operations
This paper proposes the Primary Relational Anchoring Principle (PRAP), a domain-general conceptual framework intended to describe the structural role of operative relational linkages in activities that depend on relations between relevant elements and references. Its central claim is conditional and structural: whenever a particular operation is defined as dependent on a specified relation, that relation must be represented, implemented, or otherwise operative within the pathway by which the operation is constituted. The corresponding linkage functions as the primary relational anchor for that pathway. The framework distinguishes the existence of an anchor from its quality, the availability of a particular pathway from the availability of alternative pathways, and structural dependency from successful outcomes. It further distinguishes an initial self-credibility case involving personal confidence and interpersonal trust from the more general principle. A formal vocabulary is introduced for systems, focal elements, references, pathways, anchors, operations, and outcomes. A binary structural formulation is provided, together with extensions for graded anchor quality, alternative pathways, temporal change, networked systems, and empirical modelling. The paper also specifies research propositions, operational definitions, potential counterexamples, a falsifiability strategy, and a staged research protocol. PRAP is presented as a proposed theoretical framework rather than an empirically established universal law. Its distinctive contribution, explanatory advantages, and domain-wide applicability remain questions for comparative theoretical analysis and empirical investigation.
Authors
- Shamiul Hoque Shan
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-04
- DOI
- https://doi.org/10.5281/zenodo.23954986
- Primary Topic
- Complex Systems and Decision Making
- Type
- preprint