Human Semantic Field Model (MCSH)
A framework for observing the distance between what is said and what is. Between narrative and reality. Between a system and its truth.
Systemic Fragility Observatory
α = 0.776 · State S1′ · T_med = 3.1m
The MCSH is a conceptual framework that observes how meaning is generated, transforms, and sustains over time. It does not describe isolated words: it describes fields of meaning, their dynamics, their tensions, and their direction.
It proposes a metric for something that always existed but had never been formalized: the distance between what a system says it is and what it actually is.
This site exists as a stable reference for the foundational text and its associated public records.
Language models have become structurers of truth. Governments, markets, and institutions operate on narratives that do not always align with the underlying structural reality.
The MCSH proposes measuring that distance. Rigorously. Mathematically. Without relying on what the system says about itself.
Because the distance between narrative and reality is not a philosophical problem. It is a technical problem with a solution.
The six axes that structure the model
The space where meaning lives, organizes, and tensions. It is not static: it has direction and velocity.
How meaning shifts, reorganizes, or stabilizes. Change is the norm, not the exception.
How a story is lived, remembered, or projected. The time of meaning is not clock time.
The forces driving the evolution of meaning. When tension exceeds a threshold, the system changes state.
The ability to influence what something means for a group. Whoever controls meaning controls the perception of reality.
How technical systems amplify, reflect, or distort human meaning fields. LLMs are the most relevant and least understood case.
The MCSH can be read at multiple scales: from personal narrative to the collapse of complex systems. It is a framework for anyone who needs to measure the distance between what something says it is and what it actually is.
Operational applications live elsewhere. Here lives the foundation.
From theoretical framework to applications that measure what no one had measured before.
MCSH applied to global systemic risk. 7-state Markov model + Monte Carlo n=10,000. 10 non-conventional indicators. Public monitor with critical convergence window May 2026.
Enter the Observatory →Patent pending · AI ComplianceForensic integrity engine that certifies the temporal integrity of any file — AI outputs, corporate documents, contracts, compliance records — through cryptographic Forensic Capsules. One-click integrity certification.
Visit SPE Audit →Patent pending · EnterpriseMeasures the distance between what a company says it is and what the market understands it to be. S(t) vs R(t). D(t) = |S(t) − R(t)|. Semantic reality for any organization.
Visit SPE Trace →Meaning moves. It expands, contracts, tensions, bifurcates.
The MCSH was created to observe that movement with conceptual rigor and human sensitivity, keeping open the frontier between foundational framework and subsequent operational work.
Public texts of the MCSH. The foundational document is published without applications or promises: as a stable reference.
Also available: Markdown version
March 2024
Snipe is born — an auction marketplace. Trying to survive, we began measuring how language models positioned us against the competition.
October 2025
Snipe goes to market. To validate the MCSH framework we run a semantic and entropic analysis of over 700 companies — heat maps, k-cluster, singularity analysis. Result: #17 among the most singular. Ranked ahead of major platforms. With zero investment. But the market wasn't buying.
The anomaly
Something didn't add up. Two truths were operating in parallel and they didn't match.
Why does that distance exist? Who measures it? Who certifies it? No one.
Everything else was born from that question.
Rubén Abella
Independent researcher in meaning dynamics, AI auditing, and systemic fragility.
Entrepreneur. Observer. Author of the MCSH. What started as an anomaly in a marketplace became a framework for measuring the distance between narrative and reality in any system.
Subscribe to receive updates from the public archive (new notes, revisions, and documents).
A conceptual framework for observing the dynamics of meaning: how it is generated, how it shifts, and how it tensions across narrative, social, and technical contexts.
No. The published text is strictly foundational. It defines the conceptual framework: its scope and limits, without operational derivatives.
On the About page and in the introduction published on LinkedIn.
It is the application of the MCSH to global systemic risk. A public monitor with a Markov model, Monte Carlo simulation, and 10 non-conventional indicators that no institutional dashboard publishes. Free access.
They are the two commercial applications of the MCSH. SPE Audit certifies the temporal integrity of any file — AI outputs, corporate documents, contracts — with one click (speaudit.com). SPE Trace measures the semantic reality of organizations (spetrace.com).