Terminology#

This document defines key terms as they are used within the Manufacturing Substrate Regime Model (MSRM). Terms are defined structurally and descriptively, without embedding physical, empirical, or domain‑specific semantics.

Substrate#

A substrate is an abstract structural layer that organizes system behavior without prescribing implementation details, physical interpretation, or optimization goals.

Regime#

A regime is a declared operating context within which specific assumptions, calibration conditions, and validity constraints hold. Regimes define boundaries of applicability, not behavior.

Operating Envelope#

An operating envelope specifies the bounded conditions under which a regime remains valid. Exiting an operating envelope does not imply failure, only loss of validity.

Boundary Semantics#

Boundary semantics describe how regime limits are interpreted, detected, and managed. Boundaries constrain validity rather than enforcing control or optimization.

Calibration#

Calibration refers to the structural alignment of system assumptions within a declared regime. In MSRM, calibration is treated as a substrate‑level concern rather than a procedural tuning step.

Drift#

Drift denotes gradual deviation of system behavior or assumptions from their calibrated regime, potentially leading to regime exit if unmediated.

Operator#

An operator is an abstract mediator that manages interactions between regimes, calibration layers, or system components. Operators do not optimize or control behavior; they facilitate structural coherence.

Mediation#

Mediation is the process by which operators manage transitions, interactions, or boundary crossings between regimes without enforcing specific outcomes.

Non‑Catastrophic Exit#

A non‑catastrophic exit occurs when a system leaves a regime’s operating envelope without failure, allowing for detection, mediation, or re‑declaration of regime context.

Structural Model#

A structural model describes relationships, boundaries, and organizational principles without asserting physical causality or empirical prediction.