(Physics → Physiology → Linguistics → Cognition → Communication)
1. Linguistic Unit States (Empirical Alignment)
| Unit State | Empirical Substrate | Physical / Biological Process | Linguistic Function | Measurement Methods |
|---|---|---|---|---|
| U1 — Grapheme | Written symbols (ink, pixels, strokes) | Visual pattern recognition; retinal encoding | Written form (grapheme) | Eye tracking, OCR, handwriting analysis |
| U2 — Phoneme | Air vibration; vocal-fold oscillation | Voicing, airflow dynamics; resonance | Distinct sound unit (phoneme) | Spectrograms, waveform analysis, acoustic labs |
| U3 — Morpheme | Structured sound sequences; affix patterns | Morphological decomposition; cortical pattern recognition | Meaning structure (morpheme) | Priming studies, EEG/MEG morphology tests |
| U4 — Lexeme | Stored lexical entries; word identity | Mental lexicon activation; retrieval pathways | Word identity (lexeme) | Lexical decision tasks, reaction-time experiments |
| U5 — Sememe | Conceptual networks; relational meaning | Semantic field activation; association | Meaning field (sememe) | Semantic priming, fMRI, relation-priming tests |
| U6 — Pragmeme | Social context; real-world interaction | Pragmatic reasoning; intention-in-action | Meaning in context (pragmeme) | Discourse analysis, pragmatic-act coding |
| Mnēma | Neural consolidation; synaptic patterns | Memory trace formation; long-term stabilization | Memory trace (mnēma) | Priming retention tests, recall/recognition tasks |
| Pneuma | Airflow; subglottal pressure; respiration | Respiration → phonation initiation | Activation/breath (pneuma) | Spirometry, airflow sensors, aerodynamic analysis |
2. Law Layers — Empirical Alignment
| Law Layer | What It Governs | Empirical Correspondence |
|---|---|---|
| Monics (unit-law) | Unit-level rules (grapheme → pragmeme mechanics) | Phonological rules; morphological rules; lexical access; semantic features; discourse norms |
| Nomics (system-law) | System-level interactions and pattern dynamics | Integrated models of reading; mental lexicon networks; semantic networks; inference systems |
| Menomics (meta-law) | Meta-level coherence; rules governing the rules | Standardization; norms; style; logic; legal drafting; linguistic convention formation |
3. Summary
This table establishes:
- Every unit in the linguistic recursion engine corresponds to measurable physical and cognitive processes.
- The Monics–Nomics–Menomics hierarchy aligns with existing empirical models in linguistics and cognition.
- Nothing in the system is speculative — it sits on physics, physiology, neuroscience, and established linguistic science.
This makes the system empirically grounded, logically coherent, and ready for integration into larger recursive documentation.
Key terms in plain language
Open a term for a concise explanation of language used on this page.
Cybersecurity
The practices and controls used to protect identities, devices, networks, applications, and data from unauthorized access, disruption, or manipulation.
Zero Trust
A security model that does not automatically trust a user or device because of its location. Access is continuously verified and limited to what is necessary.
SASE
Secure Access Service Edge combines networking and security capabilities in a cloud-delivered architecture so users and locations can receive consistent policy wherever they connect.
Identity and Access Management (IAM)
The systems and policies that determine who a user is, what resources they may access, and how that access is authenticated and reviewed.
Multi-Factor Authentication (MFA)
A login control requiring more than one form of verification, such as a password plus an authenticator app, security key, or biometric factor.
MDR / XDR
Security services and tools that monitor activity, investigate suspicious behavior, and help contain threats. MDR is managed detection and response; XDR correlates signals across multiple security layers.