Meaning System Science

1. Canonical Definition

Meaning System Science (MSS) is the scientific study of how meaning behaves as a structural, proportional, and thermodynamic system.

MSS defines the variable architecture of Truth Fidelity (T), Signal Alignment (P), Structural Coherence (C), Drift (D), and Affective Regulation (A), and specifies how proportional relationships among these variables condition interpretive reliability across interpreters, environments, and time.

2. Featured Lineage

Claude Shannon — A Mathematical Theory of Communication (1948)
Formalized information transmission under noise and constraint. MSS extends this by defining drift as a rate condition and specifying variables governing interpretive stability.

Niklas Luhmann — Social Systems (1984)
Modeled communication as a system with internal constraints. MSS builds on this by specifying a variable architecture that conditions whether communication remains interpretable across roles and contexts.

3. Plainly

MSS explains why meaning remains compatible in some systems and incompatible in others. It identifies the measurable conditions that govern interpretive reliability at scale.

4. Scientific Role in Meaning System Science

MSS establishes:

• the five variables (T, P, C, D, A)

• proportional conditions for interpretive stability

• drift as a rate condition and the dynamics that increase or reduce it

It provides the basis for diagnosis, modeling, and governance.

5. Relationship to the Variables (T, P, C, D, A)

• T: correspondence and verification discipline

• P: convergent signals that express verified conditions

• C: pathways that distribute meaning consistently

• D: rate of accumulated contradiction under load

• A: capacity to update meaning and complete correction

6. Relationship to the Physics of Becoming

L = (T × P × C) ÷ D

MSS supplies the variables used in the Law and defines drift as a rate condition. The Law specifies legitimacy as the proportional stability output.

7. Application in Transformation Science

Transformation Science uses MSS to model variable movement over time, identify proportional imbalance, quantify rising drift rates, and locate where topology and coupling concentrate instability.

8. Application in Transformation Management

Practitioners apply MSS to design decision environments and governance controls that preserve interpretive stability, especially across interfaces and AI mediated workflows.

9. Example Failure Modes

• roles interpret the same conditions differently because stabilizers are not proportionate

• drift rate rises faster than correction capacity

• pathways cannot distribute meaning consistently under current load

• verification and traceability are insufficient for declared baselines

10. Canonical Cross References

General Theory of Interpretation • Interpretation • Meaning System • Interpretive Event • Physics of Becoming • First Law of Moral Proportion • Proportionism • Legitimacy (L) • Truth Fidelity (T) • Signal Alignment (P) • Structural Coherence (C) • Drift (D) • Affective Regulation (A) • Semantics • Semeiology • Systems Theory • Thermodynamics (Meaning System) • Affective Science • Interface • Transformation Science • Transformation Management • Meaning System Governance