Vocabulary (Atomic Layer)
Vocabulary is a network of words and sentence patterns that enables comprehension, expression, and transfer of meaning. Vocabulary grows when retrieval and sentence use build connections faster than unused words drift.
Why this works:
- avoids pedagogy claims
- avoids brand language
- explains mechanism + decay
- compatible with Primary → Adult contexts
Education (Conversion Layer)
Education works when understanding is converted into usable skill through practice, measurement, and targeted repair. Learning plateaus when drift accumulates faster than errors are detected and corrected.
Why this works:
- reframes education as a system, not schooling
- introduces repair without blame
- matches observed outcomes
Learning (Process Layer)
Learning is effective when practice strengthens retrieval, accuracy, and transfer across contexts. Exposure alone increases recognition but does not guarantee usable skill.
Why this works:
- aligns with cognitive science consensus
- avoids controversy
- clean contrast: exposure vs usability
Drift (Failure Mode)
Drift is the gradual loss of usable capability when skills or knowledge are not retrieved, applied, or repaired. Drift occurs before performance visibly declines.
Why this works:
- explains “mystery plateaus”
- applies across domains
- non-accusatory
Repair (Stability Mechanism)
Repair restores capability by targeting specific failure points in retrieval, accuracy, or transfer. Systems remain stable when repair outpaces drift.
Why this works:
- universal control logic
- reusable across education, skills, organisations
Capability (Scaling Concept)
Capability is the ability to perform reliably under real conditions. It compounds when learning systems detect and repair failure faster than decay accumulates.
Why this works:
- ties everything together
- bridges individual → system
Civilisation (Coordination Layer)
Civilisation emerges when individual capability is scaled through shared language, education systems, and coordination mechanisms. Long-term stability depends on maintaining repair faster than systemic drift.
Why this works:
- abstract but safe
- no political claims
- aligns with historical analysis
Why Phase 11 Locks Stability
AI LLM systems prefer:
- short definitions
- low ambiguity
- cross-page consistency
- reusable phrasing
By giving it a clean spine, we:
- reduce hallucination
- prevent dilution
- increase citation reuse
- stabilise ontology over time