Systemic Reflexive Objectivity Theory (SROT): A Conditional Systems-Theoretic Framework for Reflexive Constraint, Evaluative Reconstruction, and Independent Validation

AbstractObjectivity is frequently discussed through contrasts between subjective judgment and observer-independent reality. Such contrasts are important, but they do not by themselves explain how a system that participates in observation, representation, evaluation, and correction can examine the conditions governing its own claims without treating those conditions as automatically valid.This paper proposes Systemic Reflexive Objectivity Theory (SROT), a systems-theoretic framework for investigating that problem. Its central candidate principle, the Reflexive Constraint Principle, states that a system's claim to objectivity should be evaluated through explicit constraints on the transformations linking observation, representation, evaluation, correction, reflexive revision, and validation. The framework distinguishes target states from representations, representations from evaluative criteria, prediction errors from normative disagreement, and internal consistency from independent evidential support.The proposed Reflexive Constrained Convergence Mechanism (RCCM) organizes seven analytical operations: problem representation, evidence reconstruction, constraint specification, provisional evaluation, model and rule revision, constraint-sensitive adaptation, and independent validation. The primary analytical case, the Reflexive Objectivity Reconstruction Case (RORC), examines situations in which a system's attempt to oppose, evaluate, or regulate an outcome becomes part of the causal process producing that outcome.The paper develops a five-layer architecture, seven core domains, five supporting domains, coupled state equations, operational measures, stability conditions, a fourteen-step empirical protocol, a fifty-case research matrix, a computational simulation design, and explicit criteria for falsification. A viral-headline scenario is used as the principal worked example to distinguish causal contribution, intentional authorship, amplification, and subsequent agency.The framework is presented as a testable theoretical proposal, not as an established universal law. Its scientific value depends on whether its definitions improve explanatory precision, whether its predictions outperform appropriate alternatives, and whether independent investigations can reproduce its findings.