Empathic Logic Model (ELM): A Cognitive-Interactional Coherence Framework for Regulating Interpretive Instability

Human meaning-making frequently occurs under conditions of uncertainty, where contextual interpretations may be stabilized rapidly and with unwarranted certainty. Under emotional activation, cognitive bias, or time pressure, individuals often generate premature interpretive closure (PIC), treating incomplete contextual attributions as certain. Such premature stabilization can produce disproportionate emotional reactions, relational tension, and distorted interpretation. The Empathic Logic Model (ELM) introduces a structured cognitive–interactional coherence framework for the regulation of interpretive instability. The model operationalizes the integration of cognitive empathy and logical attribution within a recursive alignment architecture, formalizing alignment between subjective internal state (What) and contextual explanatory attribution (Why). Through disciplined perception and structured clarification, ELM regulates interpretive coherence and prevents premature closure under uncertainty. The framework operates across intrapersonal (Self-Alignment) and interpersonal (Shared-Alignment) domains through three operational modes: Structured Expression (Mode A), Contextual Exploration (Mode B), and Recursive Proportional Alignment (Mode C). ELM formalizes seven structural components: (1) a three-mode architecture distinguishing proactive framing, exploratory contextual refinement, and recursive proportional stabilization; (2) provisional attribution protocols maintained with epistemic humility; (3) a bounded two-phase clarification–stabilization structure in which recursive refinement occurs exclusively within the clarification phase, while Self-Alignment proceeds through linear observational adjustment rather than reciprocal recursion; (4) explicit mode-selection logic based on contextual clarity and relational familiarity; (5) a formalized certainty gradient (Provisional → Semi-Stabilized → Stabilized); (6) integration of intrapersonal Self-Alignment and interpersonal Shared-Alignment within a unified framework; and (7) a developmental encoding mechanism describing how repeated proportional alignment may shift interpretive identity over time. Mode C functions as the core recursive engine of the framework, unfolding through a clarification loop followed by stabilization upon contextual sufficiency. The model emphasizes provisional contextual attribution held with epistemic humility and uncertainty tolerance, enabling progressive refinement without premature stabilization. ELM distinguishes between Provisional, Semi-Stabilized, and Stabilized contextual attributions, emphasizing sufficient coherence rather than absolute certainty. Through recursive proportional alignment and developmental encoding, repeated engagement with ELM may contribute to shifts in interpretive identity and relational stability over time. By integrating interpretive regulation with interactional refinement, the framework promotes proportional coherence under uncertainty while preserving individual agency. Practical implications across workplace communication, conflict navigation, leadership, relational development, and structured uncertainty management are outlined, alongside theoretical integration and directions for empirical validation of the model’s regulatory and developmental claims.