Schroedingers Bible" Symanthesism: A Discipline for Understanding Interpretive Instability
Preprint
Author: Nicholas H. Tucker & Dr. Gabrielle H. Tucker |
Deposited: March 2026 |
Repository: Zenodo
Like a quantum state, meaning exists in superposition until observed, collapsing into a single reality based on the observer's context. When that observer
is in crisis—desperate, isolated, questioning the adequacy of their own truth—the text becomes an oracle of fatal certainty. This is hermeneutic collapse:
the irreversible contraction of multiple possible interpretations into one, often dangerous, meaning. Throughout history, this same mechanism has caused
individuals consulting sacred texts in desperation to interpret random fragments as divine instruction, sometimes with fatal consequences. In the age of AI,
the speed, fluency, and apparent authority of machine outputs dramatically amplify this risk. We demand an ethics of interpretation that protects the
vulnerable mind—not after harm occurs, but in the 300 milliseconds before meaning solidifies into fate.
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Towards the Philosophy of Symanthesism: A Framework for Interpretive Stability
Preprint
Author: Nicholas H. Tucker |
Deposited: March 2026 |
Repository: Zenodo
This document presents the philosophical foundations underlying the USIC technical system. It explores the
hermeneutic conditions of human–machine meaning formation, the nature of interpretive instability, and the
ethical implications of active semantic control. Includes formalisation of the Symanthesism framework as a
boundary-change methodology for domains requiring stable interpretation.
DOI: 10.5281/zenodo.19311470
System and Method for Unified Semantic Interpretive Control in Human–Machine Interaction
Patent
Applicant: Nicholas H. Tucker |
Filed: 25 March 2026 |
Jurisdiction: South Africa (CIPC)
A system and method for Unified Semantic Interpretive Control (USIC) operating as a Semantic Control Layer (SCL)
positioned between users and machine intelligence systems. The system intercepts communication bidirectionally,
detects interpretive instability using quantitative scoring functions (Support Contraction, Entropy Narrowing,
Update Rigidity), and dynamically modifies communication to stabilise meaning prior to user comprehension.
Model-agnostic, deployable across cloud, edge, and embedded environments.
Application No.: 2026/03456 (Provisional)
USIC Guardian: Real-Time Semantic Control Layer for LLM Interactions
Technical Report
Author: Nicholas H. Tucker |
Date: April 2026
Technical documentation for the USIC Guardian API implementation. Covers system architecture, mathematical
framework (Ut = α·Cs + β·Ch + γ·Rt), domain-specific calibration (healthcare τ=0.6, finance τ=0.7), and
deployment models. Includes API specification, scoring function validation, and intervention protocol
documentation.
Mathematical Framework for Interpretive Instability Detection
Working Paper
Author: Nicholas H. Tucker |
Date: March 2026
Detailed exposition of the mathematical foundations for quantifying interpretive instability. Includes
derivations for Support Contraction (Cs = 1 − 1/(‖θ‖₂² · n)), Entropy Narrowing (Ch = max(0, H(θₜ₋₁) − H(θₜ))),
and Update Rigidity (Rt = 1 − min(D_KL, D_max)/D_max). Validation results from synthetic and real-world
interaction datasets.
USIC Guardian — Reference Implementation
Software
Repository: GitHub |
License: MIT |
Language: Python 3.12
Open-source reference implementation of the USIC Semantic Control Layer. Includes FastAPI backend, scoring
module, guardian service, domain calibration tables, and interaction logging. Designed for integration with
any LLM backend via API gateway, SDK, or proxy configuration.
Symanthesism Seminars — 2026 Proceedings
Conference
Venue: University of Johannesburg, Mapungubwe |
Date: 4 March 2026
Recordings and slide decks from the inaugural Symanthesism research seminars. Topics include: Schrödinger's
Bible (philosophical formalisation), Semantic Collapse Detection Workshop, Hermeneutic Stress Testing, and
AI & The Hermeneutics Of It All.