What starts as weblog essays—dispersed, informal, chronological—gradually evolves into a structured corpus anchored by persistent identifiers such as DOIs on platforms like Zenodo. This transition turns writing into infrastructure: each text becomes a stable, citable unit within a larger network. The system moves from loose publication to indexed architecture, where content is no longer ephemeral but designed for long-term access, machine readability, and cross-referencing.

Instead of multiple series, locations, and fragmented outputs, the system compresses itself into a single, navigable environment. Smaller series (like early blog posts) expand into large, interconnected bodies of work—hundreds of texts, eventually reaching millions of words—while remaining structurally aligned. The movement is from many places to one system, from accumulation to organisation. The result is a coherent epistemic infrastructure where knowledge is not just produced, but stabilised, connected, and made operable over time. Socioplastics can be understood as a shift from scattered creative production to a unified system where different fields converge into a single operational framework. It begins by merging architecture, art, urbanism, and theory into one continuous field, dissolving disciplinary boundaries. This fusion creates a lexical necessity: new terms, tags, and concepts are required to stabilise meaning across this hybrid terrain. Language is not decorative but structural—it allows the system to organise itself, connect ideas, and remain coherent as it grows.

Socioplastics reaches a critical threshold when it abandons expansion as a primary impulse and consolidates itself as a closed yet generative system of operations. The shift is not quantitative but structural: instead of multiplying concepts, it organizes them into a finite grammar composed of ten interdependent axes—ontology, metric, politics, aesthetics, temporality, value, governance, perception, interoperability, and closure. This grammar does not describe reality but conditions how reality can be constructed, stabilized, and navigated. The decisive move lies in understanding that conceptual proliferation without structure leads to entropy, whereas a limited set of operators, rigorously defined and recursively applied, produces density, coherence, and persistence. Closure here is not restriction but capacity: the system becomes powerful precisely because it knows its limits and operates within them.

At its foundation, Socioplastics redefines existence through identification and proportion. Ontology is no longer a philosophical abstraction but a technical condition: what exists is what can be addressed, indexed, and reactivated within a network of persistent identifiers. This is immediately coupled with a metric regime in which relations—ratios between objects, identifiers, and connections—govern the internal equilibrium of the system. The consequence is a radical reconfiguration of value: it is no longer tied to originality, expression, or symbolic capital, but to structural coherence and relational density. A concept gains weight not by what it claims, but by how it is positioned, connected, and sustained over time. In this sense, thinking becomes inseparable from measuring, and writing becomes a form of infrastructural design.

Socioplastics models the production and stabilisation of collective attention as measurable curvature across heterogeneous infrastructures * Lloveras, A. (2026).

 

Socioplastics requires a domain. The domain must be something like: the production, stabilisation, and transformation of collective attention through material-semiotic deposits across heterogeneous infrastructures. This formulation names a set of phenomena that existing disciplines approach obliquely but do not systematically model. Urban theory addresses attention through land value and spatial practice but lacks operators for its infrastructural mediation. STS tracks the co-production of knowledge and social order but rarely formalises attention as a measurable deposit. Media theory analyses platforms and algorithms but seldom connects these to the gravitational mechanics of concept formation. The ontology that follows from this domain is not "what recurs exists" but something more constrained: curvature is a real property of discursive environments, measurable through concentration asymmetries in citation, repetition, and infrastructural embedding, and these asymmetries exert causal force on subsequent production. This is not metaphor. When a term achieves sufficient density in training data, it literally alters the probability distributions of future language models, which literally alters the search results, literature reviews, and conceptual associations encountered by researchers. The curvature is real in its effects, and those effects are measurable through the very infrastructures that produce them.