What question did this study set out to answer?

The study aims to define Money-Logic Structural Compliance (MLSC) as a framework for understanding how auditability affects educational design under revenue constraints.

January 16, 2026Open Access

Money-Logic Structural Compliance (MLSC) A micro-formalism for audit-first education and goal navigation under revenue constraints

Puntos clave

The study aims to define Money-Logic Structural Compliance (MLSC) as a framework for understanding how auditability affects educational design under revenue constraints.
Introduced a compact variable set linking institutional incentives to individual decision dynamics.
Defined core constructs such as Marginal Navigational Yield and Sunk Identity Lock.
Developed a decision procedure for continuation versus exit that operates independently of external validation.
MLSC shifts focus from outcome-based learning to time-based participation.
The model shows robustness to stagnating external returns, indicating sustainability in the decision-making process.
Framework is testable through behavioral invariance, offering a novel approach to educational compliance metrics.

Resumen

This preprint defines Money-Logic Structural Compliance (MLSC): an institutional condition inwhich auditability and revenue-preservation constraints dominate educational design, shiftingvalue from outcome-based learning to time-based participation. We introduce a compact variableset that links institutional incentives (audit-first structures) with individual decision dynamics underconstraint. Core constructs include Marginal Navigational Yield (MNY), Sunk Identity Lock (SIL),Identity-Complete Closure (ICC), Temporal Irrelevance with Preserved Flow (TIF), SomaticNeutral Recall (SNR), Observer-Invariant Behavior (OIB), and Internal Coherence Stability (ICS).The model yields a minimal decision procedure for continuation vs. exit that is independent ofexternal validation and robust to stagnating external returns (EYD = 0). The framework is intendedas a DOI-ready conceptual scaffold: short, composable, and testable via behavioral invarianceand somatic neutrality rather than surveillance-style compliance metrics.

Leer artículo completoexternamente

Preguntar a la IA

Me gusta

Guardar

Ver artículo completo