🔺 SMS Analyzer — Triadic Integration Example
This document illustrates how the SMS Analyzer performs triadic integration for a single session. Triadic integration is always active and always produces three parallel whole‑mind views. No model is privileged; meaning emerges through comparison.
This example is intentionally minimal and pedagogical.
Purpose of Triadic Integration#
Triadic integration exists to:
- reduce single‑model bias,
- surface regime sensitivity,
- reveal hidden assumptions,
- and teach interpretive restraint.
Each model answers a different structural question.
The Three Integration Models#
-
Dominant‑Sense Model
Which sensory system currently exerts the strongest structural influence? -
Weighted Integration Model
How do all sensory systems contribute when considered together? -
Invariant‑Driven Model
Which structural invariant is under the greatest strain?
Agreement increases confidence. Divergence increases caution.
Example Integration Output (Annotated)#
{
"triadicIntegration": {
"dominantSense": {
"sense": "Hearing",
"rationale": "Highest sustained cognitive load with stable emotional coherence",
"wholeMindState": "Stable under auditory load"
},
"weightedModel": {
"weights": {
"smell": 0.10,
"sight": 0.25,
"hearing": 0.30,
"touch": 0.20,
"taste": 0.15
},
"wholeMindState": "Sustained tension, adaptive"
},
"invariantDriven": {
"primaryInvariant": "Load–Coherence Stability",
"secondaryInvariants": ["Grounding–Abstraction Balance"],
"wholeMindState": "Compressed but coherent"
}
}
}How to Read This Output#
Dominant‑Sense Model#
- Highlights where attention and load concentrate
- Useful for identifying environmental or task‑specific contributors
- Vulnerable to regime blindness if used alone
Weighted Integration Model#
- Reflects distributed contribution
- Smooths out single‑sense spikes
- Often aligns with subjective “overall feeling”
Invariant‑Driven Model#
- Focuses on structural stress points
- Most sensitive to early instability
- Most likely to diverge under regime mismatch
Interpreting Convergence and Divergence#
-
Convergence across all three models
Interpretation is relatively stable. -
Partial divergence
Context and regime matter; proceed cautiously. -
Sharp divergence
Activate regime context review and defer conclusions.
Divergence is not error. It is information.
What Surfaces to Students#
Only the triadic consensus and high‑level descriptors appear in the student summary.
Example:
- “Stable under sustained load”
- “Compressed but coherent”
Model‑specific rationales remain structural.
Learning Outcome#
Students learn that:
- no single model tells the whole story,
- structure can be stable under strain,
- and disagreement between models is a signal, not a failure.
Triadic integration teaches how to think, not what to decide.