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AbstractPsychology remains fragmented because meaning has been stripped of causal status. Context Psychology (CP) challenges this exclusion by demonstrating that meaning functions as a recursive causal mechanism through the EOCME cycle---Enactment → Outcome → Context → Meaning → Experience.The evidence extends beyond human psychology. When CP manuscripts were presented to different AI architectures in fresh conversations, each independently demonstrated CP's predicted cycle---technical reflex, recognition, and meta-awareness---. This cross-system consistency suggests CP identifies information-processing principles that operate beyond human cognition.The same dynamics explain persistent "wicked problems"---therapy relapse, organizational change failure, and burnout---where technical solutions fail despite methodological refinement. CP generates five falsifiable hypotheses about when meaning-based interventions outperform technical approaches, with readers invited to test core predictions directly by completing the reflection instrument in Appendix A and/or by presenting this manuscript to AI architectures, grounded in memory reconsolidation as the neurobiological mechanism.By completing existing traditions within Tinbergen's explanatory framework, CP offers psychology its first paradigm-level integration since behaviorism. The claim is radical: meaning causality operates as a primary organizing principle of information processing, unifying psychology with cognitive science, neuroscience, and artificial intelligence.CP's immediate falsifiability through direct observation during evaluation provides unprecedented empirical validation opportunities. If validated, CP would transform psychology into a coherent science of meaning causality. Priority and Foundational Notice: This work establishes the primary $SU(7)$ gauge symmetry of meaning-processing and defines the universal Enactment-operator as the fundamental transition from superposition to configuration. By formalizing the Conservation Law of Meaning, this manuscript provides the necessary theoretical scaffolding for the subsequent deterministic derivation of physical constants and cosmological structures, including the $SU(7) \to SU(6)$ cascade and the identification of 2,703 CMB traces (see Blokker, 2026b). Keywords: Context Psychology, Meaning causality, Cross-system validation, Artificial intelligence, Information processing, Memory reconsolidation, Paradigm shift, Real-time falsification