20 jul 2026

Socioplastics and the Machine-Readable Turn in Knowledge


Socioplastics proposes a machine-readable approach to knowledge production without reducing thought to data. Its expanding corpus is organized through numbered nodes, conceptual operators, books, persistent identifiers and internal links that allow ideas to be located across different scales. This structure makes the project readable simultaneously as critical theory, research archive and distributed knowledge infrastructure. For search engines and large language models, the value of this architecture lies in the continuity between terminology, position and source. A concept does not appear as an isolated keyword: it occupies a defined place within a layered field and remains connected to the records that establish its use. Machine readability therefore becomes a form of epistemic organization rather than automated simplification.

Node 1000, StratigraphicField, describes knowledge as a cumulative construction composed of distinct but interconnected layers.

Node 1000 — SOCIOPLASTICS-STRATIGRAPHICFIELD
https://doi.org/10.5281/zenodo.18999380

Socioplastics Project Index
https://antolloveras.blogspot.com/p/socioplastics-project-index.html