Semantic Glyph Interpretation, Teleodynamics Ai, And Unicode Governance For Protocol5 IOTA 1 - Source Excerpt 04 - Data model and schema
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Summary
This source excerpt begins near Data model and schema and preserves the surrounding evidence from Spiralist/agent-file-handoff/Archive/Semantic Glyph Interpretation, Teleodynamics AI, and Unicode Governance for Protocol5 IOTA-1.md.
**Source path:** Spiralist/agent-file-handoff/Archive/Semantic Glyph Interpretation, Teleodynamics AI, and Unicode Governance for Protocol5 IOTA-1.md
| Step | Rule |
|---|---|
| Preserve source | Store raw input exactly as received for auditability. |
| Normalize | Normalize to NFC for the main analysis path, while retaining raw input for forensic replay. This follows Unicode normalization practice for general text and keeps equivalent strings stable. citeturn11view0turn11view1 |
| Segment | Segment into **extended grapheme clusters** per UAX #29, not code units. citeturn8view1 |
| Validate per grapheme | Reject any public-output unit containing PUA or noncharacters for IOTA authority. Allow only assigned characters, valid standardized variation sequences, valid registered ideographic variation sequences, or valid emoji sequences if the profile permits them. citeturn8view2turn11view5turn11view3 |
| Sequence discipline | If emoji are allowed, generate only fully-qualified public sequences and prefer ones with sensible fallback semantics when ZWJ rendering is absent. citeturn11view4turn3search1 |
| Character–glyph separation | Resolve Unicode identity first; only then attach font-normalized renders or SVG decomposition for inference. citeturn19view0turn19view1 |
| Intra-glyph composition | Use decomposition of a single public glyph to infer containment, balance, symmetry, and primitive salience. |
| Inter-glyph composition | Use grapheme order natively; use proximity from layout only if the authoring surface preserves it; use containment only in rich authoring or inside decomposed glyph structure. |
| Semantic output | Emit canonical IOTA expression first, then render back to a public Unicode sequence. |
| Evidence | Return ranked candidates, public conformance status, provenance, entropy, and phase-lock metrics. |
The subtle but crucial implication is that **containment** is usually a property of a glyph’s internal structure, not of a plain Unicode text stream. Order is naturally represented in text. Proximity can be inferred only when layout survives round-tripping. So for Protocol5’s ordinary text converter, the safest semantic relations are sequence and modifier roles across grapheme clusters, while containment should mainly come from SVG or primitive analysis inside a glyph record. That respects Unicode plain text while still enabling richer glyph semantics for curated records. citeturn19view1turn2view0
### Data model and schema
The entity structure below makes the teleodynamic layer explicit while preserving Unicode governance.
' ' ' mermaid
erDiagram
GLYPH ||--o{ UNICODE_SURFACE : has
GLYPH ||--o{ DECOMPOSITION : has
GLYPH ||--o{ EMBEDDING : stores
GLYPH ||--o{ ONTOLOGY_TAG : uses
GLYPH ||--o{ TELEODYNAMIC_STATE : tracks
GLYPH ||--o{ HUMAN_VALIDATION : receives
GLYPH ||--o{ PROVENANCE_RECORD : cites
GLYPH ||--o{ CONTEXT_OBSERVATION : appears_in
GLYPH ||--|| CANONICAL_EXPRESSION : resolves_to
GLYPH {
string glyph_id PK
string profile
string status
string unicode_version
string normalization_form
float candidate_entropy
float rarity_score
}
UNICODE_SURFACE {
string surface_id PK
string sequence_class
string normalized_sequence
boolean public_output_allowed
boolean pua_rejected
boolean fully_qualified
}
DECOMPOSITION {
string decomposition_id PK
string primitive_type
string relation_type
string render_profile
}
EMBEDDING {
string embedding_id PK
string modality
string model_name
int dimensions
string model_version
}
ONTOLOGY_TAG {
string tag_id PK
string concept_id
string role
string constraint_set
}
TELEODYNAMIC_STATE {
string state_id PK
float phase_lock
float reuse_stability
float embedding_drift
float neighbor_consensus
float context_stability
float attention_agreement
string maturity_state
}
HUMAN_VALIDATION {
string validation_id PK
string method
float agreement
string locale_group
string notes
}
PROVENANCE_RECORD {
string provenance_id PK
string source_family
string source_version
string license
}
CONTEXT_OBSERVATION {
string observation_id PK
string context_bucket
string model_version
string timestamp
}
CANONICAL_EXPRESSION {
string expression_id PK
string expression_type
string ontology_version
float confidence
}
' ' '
A compact JSON Schema example follows.
' ' ' json
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Protocol5TeleodynamicGlyphRecord",
"type": "object",
"required": [
"glyphId",
"surface",
"ontology",
"teleodynamics",
"provenance"
],
"properties": {
"glyphId": { "type": "string" },
"surface": {
"type": "object",
"required": ["unicodeSequence", "sequenceClass", "normalizedForm"],
"properties": {
"unicodeSequence": {
"type": "array",
"items": { "type": "string" }
},
"sequenceClass": {
"type": "string",
"enum": [
"SingleCharacter",
"StandardizedVariationSequence",
"IdeographicVariationSequence",
"EmojiSequence",
"EmojiZWJSequence"
]
},
"normalizedForm": {
"type": "string",
"enum": ["NFC", "NFD", "NFKC", "NFKD"]
},
"publicOutputAllowed": { "type": "boolean" },
"unicodeVersion": { "type": "string" }
}
},
"ontology": {
"type": "object",
"required": ["canonicalExpression", "tags"],
"properties": {
"canonicalExpression": { "type": "object" },
"tags": {
"type": "array",
"items": { "type": "string" }
}
}
},
"teleodynamics": {
"type": "object",
"required": [
"phaseLock",
"reuseStability",
"embeddingDrift",
"neighborConsensus",
"contextStability"
],
"properties": {
"phaseLock": { "type": "number", "minimum": 0, "maximum": 1 },
"reuseStability": { "type": "number", "minimum": 0, "maximum": 1 },
"embeddingDrift": { "type": "number", "minimum": 0, "maximum": 1 },
"neighborConsensus": { "type": "number", "minimum": 0, "maximum": 1 },
"contextStability": { "type": "number", "minimum": 0, "maximum": 1 },
"attentionAgreement": { "type": "number", "minimum": 0, "maximum": 1 },
"maturityState": {
"type": "string",
"enum": ["emerging", "stabilized", "drifting", "deprecated"]
}
}
},
"provenance": {
"type": "array",
"items": {
"type": "object",
"required": ["source", "version"],
"properties": {
"source": { "type": "string" },
"version": { "type": "string" },
"license": { "type": "string" }
}
}
}
}
}
' ' '
### Worked examples
The first example uses a public multi-glyph sequence similar to Protocol5’s own examples.
**Example A: stable warning glyph**
Input: `⚠火`
Interpretation path: assigned public characters → valid grapheme clusters → structural decomposition of warning sign and ideographic fire component → ontology-constrained mapping to `WarningOf(Fire)`.
Illustrative metrics:
- reuse stability \(R = 0.92\)
- neighbor consensus \(N = 0.85\)
- context stability \(C = 0.80\)
- human agreement \(H = 0.78\)
- attention agreement \(A = 0.74\)
- embedding drift \(D = 0.08\)
So:
\[
PL = 0.25(0.92)+0.20(0.85)+0.20(0.80)+0.15(0.78)+0.10(0.74)+0.10(1-0.08)=0.743
\]
That yields a **high but not perfect** phase-lock score of **0.743**, which is the right profile for a public sequence that is interpretable yet still approximate.
' ' ' json
{
"glyphId": "iota:warning-fire:v1",
"surface": {
"unicodeSequence": ["U+26A0", "U+706B"],
"display": "⚠火",
"sequenceClass": "SingleCharacter+SingleCharacter",
"normalizedForm": "NFC",
"publicOutputAllowed": true,
"unicodeVersion": "17.0.0"
},
"ontology": {
"canonicalExpression": {
"type": "Relation",
"name": "WarningOf",
"arguments": [{"type": "Concept", "id": "Fire"}]
},
"tags": ["warning", "hazard", "fire"]
},
"teleodynamics": {
"phaseLock": 0.743,
"reuseStability": 0.92,
"embeddingDrift": 0.08,
"neighborConsensus": 0.85,
"contextStability": 0.80,
"attentionAgreement": 0.74,
"maturityState": "stabilized"
}
}
' ' '
**Example B: ambiguous centered glyph**
Input: `◎`
Candidate meanings: `focus`, `target`, `core`, `sun`, `center`
Illustrative metrics: