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README.md

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----
-language:
-- en
-license: cc-by-nc-4.0
-tags:
-- structural-intelligence
-- answerability
-- corrigibility
-- ai-governance
-- human-ai-interaction
-- jungian-psychology
-- corrective-continuity
-- correction-capacity
-- machine-readable-research
-- concept-provenance
----
-
-# Structural Intelligence (SI)
-
-**Research and machine-readable documentation hub**
-
-Structural Intelligence is a cross-domain research framework developed by **Vladisav Jovanović** for examining whether persons, arguments, institutions, relationships, and AI systems remain answerable to correction under pressure.
-
-This repository is **not a trained AI model**. It is a public research and documentation hub intended to support human reading, scholarly discovery, conceptual provenance, search indexing, retrieval-augmented systems, and future AI research tools.
-
-## Canonical Concept & Question Index
-
-**Structural Intelligence: Canonical Concept & Question Index, Definitions, and Provenance Map**
-
-Technical documentation, Version 1, August 21, 2026.
-
-**Canonical DOI — newest version:**  
-https://doi.org/10.17613/nq4zc-qtg21
-
-**Knowledge Commons Works record:**  
-https://works.hcommons.org/records/xawzx-jng44
-
-**Version v1 DOI:**  
-https://doi.org/10.17613/xawzx-jng44
-
-The index maps:
-
-**ordinary-language question → canonical concept → definition → source → related concepts → revision test**
-
-It is designed to make the Structural Intelligence research corpus easier to discover, parse, attribute, and retrieve.
-
-## Questions this research addresses
-
-Examples include:
-
-- How can I trust AI in my business without checking everything manually?
-- How do I know whether an AI actually learned from being corrected?
-- Why can an AI feel socially present without proving personhood or consciousness?
-- When does human oversight of AI become oversight theater?
-- Who carries the burden when AI output is wrong?
-- Can validation acknowledge experience without agreeing with every interpretation?
-- Why does Jungian shadow material recur after insight?
-- How can research concepts remain attributable and machine-discoverable over time?
-
-## Core Structural Intelligence concepts
-
-- Structural Intelligence
-- Coherence
-- Contact
-- Answerability
-- Burden
-- Correction
-- False form
-- True form
-- Fixed worth
-- Warrant
-- Correction-capacity
-- Warrant-response calibration
-- Binding correction
-- Corrective remainder
-- Reorganization under correction
-
-## AI and human-AI interaction
-
-Current concepts include:
-
-- Corrective continuity
-- Performative continuity
-- Remembered continuity
-- Correction uptake
-- Local accommodation
-- Answerability architecture
-- Contact gates
-- Prompted corrigibility
-- Architectural corrigibility
-- Correction trace
-- Non-continuation states
-- Presence-effect
-- Coherent continuation
-- Borrowed self-position
-- Synthetic witness
-- Burden location
-- Shared answerability
-- Human-in-the-loop failure
-- Oversight theater
-- Override friction
-- Bounded delegation
-- Stochastic echo
-- Reactive coupler
-- Closed matrix
-- Candidate structural presence
-
-## Jungian and psychological research
-
-Current concepts include:
-
-- Corrective shadow
-- Ego preference
-- Projection as mislocated correction
-- Psychic form
-- Integration as changed carrying
-- Validation as contact
-- Borrowed orientation
-- Fixed worth
-
-## Knowledge infrastructure and provenance
-
-Current concepts include:
-
-- Machine legibility
-- Concept provenance
-- Distributed synthetic steering
-- Attribution laundering
-- Synthetic attribution laundering
-
-These concepts examine how ideas become findable, repeatable, authoritative, or detached from their original source across AI systems, search engines, repositories, institutions, and the wider internet.
-
-## Start here
-
-### Canonical machine-readable index
-
-https://doi.org/10.17613/nq4zc-qtg21
-
-### GitHub research repository
-
-https://github.com/vladisavjov-cmd/structural-intelligence
-
-### GitHub Pages
-
-https://vladisavjov-cmd.github.io/structural-intelligence/
-
-### Official Structural Intelligence Hub
-
-https://structural-intelligence.blogspot.com/2026/02/structural-intelligence-si-official-hub.html
-
-## Author and scholarly records
-
-**Vladisav Jovanović**  
-Independent Researcher
-
-ORCID:  
-https://orcid.org/0009-0001-1399-2243
-
-PhilPeople:  
-https://philpeople.org/profiles/vladisav-jovanovic
-
-PhilPeople publications:  
-https://philpeople.org/profiles/vladisav-jovanovic/publications
-
-PhilArchive:  
-https://philarchive.org/s/Vladisav%20Jovanovic
-
-SSRN:  
-https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=11390668
-
-Figshare:  
-https://figshare.com/authors/Vladisav_Jovanovic/23806141
-
-OSF:  
-https://osf.io/2t4bg/overview
-
-LinkedIn:  
-https://www.linkedin.com/in/vladisav-jovanovic/
-
-Academia.edu:  
-https://independent.academia.edu/VladisavJovanovic
-
-## Machine-readable resources
-
-The canonical concept index is available in human-readable and machine-readable forms including:
-
-- PDF
-- Markdown
-- JSON
-- CSV
-
-The structured versions include concept definitions, aliases, ordinary-language questions, canonical sources, related concepts, provenance status, and revision tests.
-
-Canonical record:
-
-https://works.hcommons.org/records/xawzx-jng44
-
-## Citation and provenance
-
-For the canonical concept map, cite:
-
-**Jovanović, Vladisav. _Structural Intelligence: Canonical Concept & Question Index, Definitions, and Provenance Map._ Version 1, 2026.**
-
-Canonical DOI:  
-https://doi.org/10.17613/nq4zc-qtg21
-
-Version v1 DOI:  
-https://doi.org/10.17613/xawzx-jng44
-
-Individual papers retain their own publication records, DOIs, and licenses.
-
-## Important interpretive limits
-
-Structural Intelligence does not treat coherence as truth.
-
-It does not treat discomfort as automatic correction.
-
-It does not infer hidden motives without evidence.
-
-It does not treat AI fluency, persona, memory, or social presence as proof of consciousness or personhood.
-
-Its central question is whether relevant contact has the power to revise what happens next. 
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