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AbstractThe Content-Expression Calibration Principle (CECP) is a proposed theoretical framework for examining the distinction between the functional intensity of a message and the manner in which that message is expressed. Its primary motivating case, the Expression-Intensity-Receptivity Reversal Case (EIRR), concerns situations in which increasing anger, hostility, interpersonal pressure, or other expressive features may reduce a recipient's willingness to engage with a message, even when the message itself is important, relevant, or urgent.The framework proposes that content characteristics and expressive characteristics should be represented as distinct analytical variables. It further proposes a conditional calibration mechanism intended to preserve the semantic and functional integrity of a message while reducing avoidable interference with attention, comprehension, consideration, and subsequent behavior.The proposed default mechanism is termed the Content-Expression Decoupling and Calibrated Reception Mechanism (CED-CRM). The formal architecture includes a multidimensional recipient-outcome vector, a provisional defensive-interference construct, conditional mediation and response models, an integrity-constrained calibration objective, a network representation for n interacting systems, and hypotheses designed to permit empirical disconfirmation.The manuscript distinguishes definitional commitments, model assumptions, testable propositions, and empirical findings. It also specifies potential confounders, rival explanations, boundary conditions, measurement requirements, and a staged validation protocol.The framework is proposed as a research architecture rather than an empirically established universal law. Its scientific contribution must be evaluated through construct validation, comparative model testing, preregistered studies, independent replication, and evidence that it provides explanatory or predictive value beyond existing theories of communication, psychological reactance, and message evaluation.
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Shamiul Hoque Shan (2026) studied this question.
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