🧭 SMS Analyzer — Workflow Overview

This document describes the student‑facing workflow for the Substrate Mind Science (SMS) Analyzer when used in the RTT NoS sandbox. The workflow is intentionally conservative, collaborative, and regime‑aware. It is designed to teach structural reasoning, not to produce conclusions.

The Analyzer is always used in small, supervised teams. Individual interpretation is explicitly discouraged.

🧠 Guiding Principles#

Structure precedes interpretation.
Context stabilizes meaning.
Multiple models reduce blind spots.
Environmental factors are ruled out before internal attribution.
AI augmentation is observed, not trusted.
No single session is decisive.

🧩 High‑Level Workflow#

Scenario Selection
Context Activation
Sensory Branch Modeling
Triadic Integration
Regime Context Assembly
Student‑Visible Summary
Structural Review & Reflection

Each step is lightweight and intentionally incomplete on its own.

1. Scenario Selection (Clinician‑Led)#

The workflow begins with a scenario selection, chosen by the supervising clinician or instructor.

Available student scenarios include:

Sensory‑triggered memory
Chronic load adaptation
Environmental auditory context
Apparent stability with hidden fragility

Scenarios determine which optional modules are activated. They do not determine outcomes.

2. Context Activation (Optional Modules)#

Based on the scenario, one or more context modules may be activated:

Environmental auditory exposure
Life‑regime anchoring
AI‑augmentation context

Modules add interpretive context, not explanatory weight. They are used to rule out blind spots, not to assert causes.

3. Sensory Branch Modeling#

Each sensory system is modeled independently using shared operators:

Smell
Sight
Hearing
Touch
Taste

Students work in parallel, assigning relative values rather than precise measurements. The goal is comparison, not accuracy.

All branches use the same REM‑CGP operator set.

4. Triadic Integration (Always Performed)#

Every session produces three whole‑mind views:

Dominant‑Sense Model
Weighted Integration Model
Invariant‑Driven Model

Students compare:

where models converge,
where they diverge,
and what assumptions each model makes.

No model is treated as authoritative.

5. Regime Context Assembly (Structural Layer)#

The Regime Context Block is assembled after integration.

It includes:

Consciousness regime
Life‑regime profile
Structural posture (stabilizing, compressed, exploratory)
Environmental context (if active)
Measurement integrity indicators
Regime mismatch flags

Most of this block remains structural‑only and is not surfaced in summaries.

6. Student‑Visible Summary#

Only high‑level, descriptive elements are surfaced:

Whole‑Mind State (triadic consensus)
Primary consciousness posture (plain language)
Life‑regime orientation (high‑level)
Short‑term trajectory
Key sensory contributors

This summary supports orientation, not decision‑making.

7. Structural Review & Reflection#

Teams review the structural layer together, guided by the instructor.

Focus areas:

Where interpretation could drift
Which assumptions are fragile
How regime context changes meaning
What additional sessions would clarify

Students are encouraged to ask: “What would change our interpretation if this context were different?”

⚠️ Safety & Scope Reminder#

This workflow is for educational use only.

No solo use
No self‑assessment
No diagnostic claims
No therapeutic decisions
No validation of personal beliefs

Environmental artifacts and AI‑augmented inputs are treated as contextual signals, never as evidence.

🧠 Learning Outcome#

By following this workflow, students learn:

how structure shapes cognition,
why context matters more than snapshots,
how to avoid regime blindness,
and how to reason responsibly in complex systems.

The goal is not certainty. The goal is structural clarity.