Meta‑Cognitive Barrier Processing Cycle
The Meta‑Cognitive Barrier Processing Cycle (MCBPC) is the unifying governance mechanism that integrates all components of the thesis into one coherent, auditable system. It explains how individuals encounter, interpret, and respond to barriers within complex structural environments, and how those responses evolve over time.
The Cycle brings together seven interconnected elements:
SESA - System Conditions
Defines the macro‑level structural pressures that shape how barriers are encountered.
TDRAM - Internal Interpretation Engine
Maps the reflective, interpretive, and meta‑cognitive processes individuals use when making sense of a barrier.
Context Gate - Modifiers
Explains why the same barrier produces different interpretations depending on contextual factors.
Quantitative Scales - Measurable Outputs
The Cycle is operationalised using quantitative measures, including the Meta‑Cognitive Processing Inventory and the emerging Systemic Ethics and Accessibility Index, a developing instrument designed to assess systemic accessibility barriers, trauma‑informed practice, and ethical alignment. Together, these measures quantify both the internal interpretation processes and the external system conditions that shape barrier responses.
Integration Layer - Synthesis Engine
Combines SESA, TDRAM, the Context Gate, and quantitative findings into a single theoretical model.
BEF - Downstream Forecasting
Predicts the behavioural, ethical, and systemic consequences of the Cycle over time.
Sustainability Loop - Long‑Term System Dynamics
Shows how the Cycle becomes reinforced, disrupted, or transformed across repeated barrier encounters.
Together, these components form a recursive, multi‑level mechanism for understanding how people process barriers within complex environments. The MCBPC provides a structured, theory‑driven architecture for analysing interpretation, behaviour, and long‑term system change, making it a central organising framework within my wider governance and systems‑design work.