Abstract

The Meta–Architecture of Mind and Invisibility (MAMI Theory) offers a structural account of how invisible cognitive, social, and epistemic events are produced, erased, or retained across education, clinical practice, and AI systems. Rather than treating “invisibility” as an individual trait or diagnostic ambiguity, MAMI conceptualizes it as an architectural phenomenon: a patterned interaction between cognitive timing, institutional schemas, and documentation logics. The theory introduces three core constructs—Structural Exposure Theory (SET), Disability Disjunction Theory (DDT), and the Ethics of the Unspoken—to model how certain forms of knowledge fail to enter institutional recognition pipelines. Empirically informed simulations (100 IEP cases, 50 clinical interactions, and 50 AI log patterns) demonstrate three cross–domain invisibility pathways: (1) temporal collapse (processing gaps and timing mismatches), (2) categorical collapse (classification constraints and schema rigidity), and (3) ethical collapse (failures to register unspoken or non–normative signals). The Invisible Retention Rate (IRR) is proposed as a quantitative metric for evaluating how systems either absorb or erase subtle epistemic cues. An Epistemic Collapse Matrix (ECM) models disjunction types and predicts institutional response patterns. The theory argues that current institutional architectures—educational, clinical, algorithmic—systematically under–recognize forms of cognition and communication that fall outside normative timing, visibility, or documentation pathways. MAMI offers a unified framework for detecting, modeling, and ethically responding to structural invisibility, extending implications for disability studies, AI ethics, cognitive science, and the design of future epistemic infrastructures.