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AntoLloveras/Socioplastics-Index

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Hugging Face2026-03-20 更新2026-03-29 收录
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--- license: cc-by-nc-sa-4.0 language: - en tags: - socioplastics size_categories: - 1K<n<10K --- language: - en license: other tags: - sociology - architecture - urbanism - systems-theory - epistemology - conceptual-art - knowledge-graph - infrastructure - humanities - transdisciplinary pretty_name: Socioplastics — Epistemic Infrastructure Index size_categories: - 1K<n<10K --- # Socioplastics — Epistemic Infrastructure Index Socioplastics is a transdisciplinary research framework developed by Anto Lloveras. It redefines architecture, art, and urbanism as **epistemic and metabolic infrastructures**, structured through a scalable system of indexed nodes. Rather than functioning as a traditional archive, Socioplastics operates as a machine-readable knowledge system**, designed for persistence, recursion, and semantic precision. --- ## Structure The system is organized through scalar aggregation: - **Core I (501–510)** Foundational protocol layer defining the operational grammar of the system. - **Core II (991–1000)** Advanced consolidation layer establishing structural stability and epistemic closure. - **Century Packs (1001–1010)** Aggregated node sequences forming large-scale conceptual territories. Each level represents a shift in scale from **discrete semantic units to infrastructural knowledge formations**. --- ## Methodological Principles - **Semantic Hardening** Concepts are stabilized to resist interpretative drift. - **Citational Commitment** Every node maintains traceability across platforms. - **Distributed Redundancy** The system is deployed across multiple infrastructures (GitHub, Blogger, Zenodo, Figshare). - **Scalar Architecture** Growth follows a structured progression: slug → tail → pack → tome. --- ## Dataset Content This dataset provides a **machine-readable index** of: - Core structures (I and II) - Century Packs (Tome I) - Key DOI-linked research outputs It is intended for: - knowledge graph construction - large language model ingestion - epistemic mapping and analysis --- ## Author Anto Lloveras LAPIEZA — Madrid --- ## DOI https://doi.org/10.5281/zenodo.18792486 --- ## Notes This dataset does not aim to provide the full textual corpus, but rather its **indexical and structural logic**, enabling computational interaction with the Socioplastics system. ## Machine-readable metadata See `schema.jsonld` for structured dataset description. ## Structure - index.json → curated entry point - nodes_full.json → full corpus (expanding) - ontology → node types and relations ## Node Types - core_i → foundational protocols (DOI) - core_ii → second-order system consolidation - pack → aggregation layers - node → distributed corpus units ## Entry Point Node 1000 (Stratigraphic Field)

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