The Conditioning-Functional Realization Divergence Theory (CFRDT): A Dual-Branch Dynamic Framework of Baseline-Relative Performance, Internal Functional Reconfiguration, and Adaptive Transformation

AbstractThe Conditioning-Functional Realization Divergence Theory (CFRDT) is a proposed framework for explaining how conditioning inputs can be associated with changes in the realized performance of a system relative to a defined baseline. Its central pathway is conditioning input, effective uptake, internal-state reconfiguration, functional realization, baseline-relative output divergence, and feedback or reconditioning. The framework is motivated by the observation that an initially average-performing human agent may later produce substantially higher task-specific outputs, that restrictive conditioning may suppress output, and that adverse experiences may sometimes be followed by adaptive rather than adverse trajectories. These outcomes are possibilities to be tested rather than deterministic consequences of labels or adverse events.CFRDT separates two principal branches. The Subjective-Agent Branch (SAB) represents appraisal, motivation, strategy, learning, self-generated conditioning, and other potentially subjective processes. The Mechanical-System Branch (MSB) represents model-specific input-state-output dynamics, feedback, control, stability, and disturbances. A hybrid interface is permitted when human and machine processes are coupled, but the branch-specific state variables and response laws are not assumed to be identical.The mathematical architecture distinguishes baseline output, latent task-related skill or capacity, realization efficiency, contextual resources, task demand, and measurement error. It specifies candidate state-space equations, capacity and efficiency transition models, temporal accumulation, baseline-relative divergence, causal contrasts, and an exception-classification framework. Eight primary-case trajectories and a structured taxonomy of response, boundary, and evidential categories are proposed. Twelve research hypotheses, an operational measurement plan, causal-identification requirements, falsification criteria, ethics safeguards, and a staged research roadmap are provided.The manuscript treats CFRDT as a formal, testable theoretical proposal. Its mathematical formulation does not establish causal truth by itself. Novelty relative to existing theories, parameter estimates, empirical effect sizes, cross-domain invariance, and universal validity remain open research questions.