La Profilée as a Universal Scientific Grammar and Why It Is More

Scientific disciplines share a recurring problem they do not recognise as shared: the question of when a system remains the same system under transformation. Biology addresses it through homeostasis and differentiation markers. Economics through capital structure and business model persistence. Psychology through identity stability and burnout trajectories. Philosophy through the Ship of Theseus. Each discipline has developed its own language, its own metrics, and its own failure typologies — without recognising that all are instances of the same structural problem. La Profilée (LP) provides the formal answer to this problem: a system persists as itself if and only if IR = R/(F·M·K) ≤ 1, where R is transformation load, F the identity-bearing structure, M the transformation-processing capacity, and K their coupling. This condition is not a model or a framework. It is derived from three minimal axioms — distinguishability, real transformation, and decidability — and is shown to be the only admissible form consistent with the persistence problem itself. This paper argues that LP functions as a universal scientific grammar: a common structural language that enables disciplines to translate their findings into a shared framework and learn from each other. But LP is more than a grammar. A grammar describes how sentences are formed. LP establishes what is structurally impossible. It is the boundary condition of persistence, not merely a language for describing it. The paper develops this distinction, demonstrates it across sixteen domains of application, and shows why interdisciplinary dialogue built on LP is not merely convenient but structurally grounded.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-13
DOI
https://doi.org/10.5281/zenodo.19554005
Primary Topic
Chaos, Complexity, and Education
Type
article
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article

La Profilée as a Universal Scientific Grammar and Why It Is More

Marc Maibom
Zenodo (CERN European Organization for Nuclear Research)
Chaos, Complexity, and Education
article

La Profilée as a Universal Scientific Grammar and Why It Is More

Marc Maibom
article en

Abstract

Scientific disciplines share a recurring problem they do not recognise as shared: the question of when a system remains the same system under transformation. Biology addresses it through homeostasis and differentiation markers. Economics through capital structure and business model persistence. Psychology through identity stability and burnout trajectories. Philosophy through the Ship of Theseus. Each discipline has developed its own language, its own metrics, and its own failure typologies — without recognising that all are instances of the same structural problem. La Profilée (LP) provides the formal answer to this problem: a system persists as itself if and only if IR = R/(F·M·K) ≤ 1, where R is transformation load, F the identity-bearing structure, M the transformation-processing capacity, and K their coupling. This condition is not a model or a framework. It is derived from three minimal axioms — distinguishability, real transformation, and decidability — and is shown to be the only admissible form consistent with the persistence problem itself. This paper argues that LP functions as a universal scientific grammar: a common structural language that enables disciplines to translate their findings into a shared framework and learn from each other. But LP is more than a grammar. A grammar describes how sentences are formed. LP establishes what is structurally impossible. It is the boundary condition of persistence, not merely a language for describing it. The paper develops this distinction, demonstrates it across sixteen domains of application, and shows why interdisciplinary dialogue built on LP is not merely convenient but structurally grounded.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Chaos, Complexity, and Education
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La Profilée as a Universal Scientific Grammar and Why It Is More — Marc Maibom · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS