{
  "schema": "GC_RESEARCH_INDEX_V0_2",
  "revision": "2026-09-12.2",
  "status": "BACKGROUND_NOT_REQUIRED_FOR_GC_Q_0001",
  "method_note": "This index maps parallel or adjacent constructions across countries and languages. Inclusion does not imply equivalence, endorsement or evidence for a single Global Construction doctrine.",
  "priming_note": "GC-Q-0001 participants are not required to read this research before submitting. Future submissions should self-declare prior exposure where possible.",
  "sources": [
    {"id":"GC-RS-US-001","region":"North America","country":"United States","language":"en","title":"The Intelligence Age","author":"Sam Altman","year":2024,"source_class":"AUTHOR_PRIMARY","url":"https://ia.samaltman.com/","frame":"Intelligence, compute, energy and human will as scaffolding for expanded capability.","relation":"CONSTRUCTION_OF_POSSIBILITIES"},
    {"id":"GC-RS-US-002","region":"North America","country":"United States","language":"en","title":"Machines of Loving Grace","author":"Dario Amodei","year":2024,"source_class":"AUTHOR_PRIMARY","url":"https://darioamodei.com/essay/machines-of-loving-grace","frame":"Radical acceleration thesis coupled to explicit physical, institutional and experimental limiting factors.","relation":"ACCELERATION_WITH_PHYSICAL_LATENCY"},
    {"id":"GC-RS-US-003","region":"North America","country":"United States","language":"en","title":"Millions of new materials discovered with deep learning","author":"Google DeepMind","year":2023,"source_class":"RESEARCH_ORG_PRIMARY","url":"https://deepmind.google/blog/millions-of-new-materials-discovered-with-deep-learning/","frame":"Large-scale exploration of candidate material forms followed by experimental synthesis.","relation":"CONSTRUCTION_OF_POSSIBLE_FORMS"},
    {"id":"GC-RS-US-004","region":"North America","country":"United States","language":"en","title":"AlphaFold: Five Years of Impact","author":"Google DeepMind","year":2025,"source_class":"RESEARCH_ORG_PRIMARY","url":"https://deepmind.google/blog/alphafold-five-years-of-impact/","frame":"AI as an accelerator of scientific discovery and a template for other scientific domains.","relation":"AI_FOR_SCIENCE"},
    {"id":"GC-RS-DE-001","region":"Europe","country":"Germany","language":"de","title":"Industrie 4.0","author":"DFKI","year":2026,"source_class":"RESEARCH_ORG_PRIMARY","url":"https://www.dfki.de/web/anwendungen-industrie/anwendungsfelder/industrie-40","frame":"Cyber-physical production, flexible factories, human-robot hybrid teams and resource efficiency.","relation":"CONSTRUCTION_OF_PHYSICAL_PRODUCTION"},
    {"id":"GC-RS-DE-002","region":"Europe","country":"Germany","language":"de","title":"KI in der physischen Welt — RICAIP Days 2026","author":"DFKI","year":2026,"source_class":"RESEARCH_ORG_PRIMARY","url":"https://www.dfki.de/web/news/ki-in-der-physischen-welt-im-mittelpunkt-der-ricaip-days-2026","frame":"Physical AI, autonomous robotics and AI-driven manufacturing as industrial infrastructure.","relation":"PHYSICAL_AI"},
    {"id":"GC-RS-CN-001","region":"East Asia","country":"China","language":"zh-Hans","title":"2026数字中国创新大赛·智能科技赛道","author":"Digital China","year":2026,"source_class":"OFFICIAL_PUBLIC","url":"https://www.digitalchina.gov.cn/2026/xwzx/fhzx/202602/t20260203_5280576.htm","frame":"Embodied robots, agents and AI terminals framed as drivers of new quality productive forces.","relation":"NEW_PRODUCTIVE_FORCES"},
    {"id":"GC-RS-CN-002","region":"East Asia","country":"China","language":"zh-Hans","title":"具身智能加速落地 产业发展领跑全球","author":"Digital China / 人民邮电报","year":2026,"source_class":"OFFICIAL_PUBLIC","url":"https://www.digitalchina.gov.cn/2025/xwzx/szkx/202601/t20260121_5274379.htm","frame":"Embodied intelligence linked to future industries, manufacturing and new productive forces.","relation":"EMBODIED_INTELLIGENCE"},
    {"id":"GC-RS-JP-001","region":"East Asia","country":"Japan","language":"ja","title":"ムーンショット目標","author":"Cabinet Office, Government of Japan","year":2026,"source_class":"OFFICIAL_PRIMARY","url":"https://www8.cao.go.jp/cstp/moonshot/target.html","frame":"2050 goals spanning cybernetic avatars, human liberation from constraints, co-evolving AI/robots, environment and food systems.","relation":"SOCIETAL_MORPHOGENESIS"},
    {"id":"GC-RS-KR-001","region":"East Asia","country":"South Korea","language":"ko","title":"대한민국 제조업 대전환의 길: 제조AI 2030 전략","author":"Republic of Korea","year":2026,"source_class":"OFFICIAL_PRIMARY","url":"https://www.korea.kr/news/policyNewsView.do?newsId=148967305&pWise=main&pWiseMain=A3","frame":"Manufacturing AI transformation, large public-private investment and autonomous production strategy.","relation":"AI_MANUFACTURING"},
    {"id":"GC-RS-KR-002","region":"East Asia","country":"South Korea","language":"ko","title":"제조업 AI 대전환으로 생산성 30%↑ 불량률 15%↓","author":"Republic of Korea","year":2026,"source_class":"OFFICIAL_PRIMARY","url":"https://www.korea.kr/news/policyNewsView.do?newsId=148969347","frame":"Target of 500 AI factories by 2030 and full-stack autonomous factory technologies.","relation":"AUTONOMOUS_FACTORY"},
    {"id":"GC-RS-IN-001","region":"South Asia","country":"India","language":"en","title":"NITI Frontier Tech Hub","author":"NITI Aayog","year":2026,"source_class":"OFFICIAL_PRIMARY","url":"https://www.niti.gov.in/frontier-tech-hub","frame":"Frontier technologies linked to inclusive growth, supply-chain resilience and Viksit Bharat 2047.","relation":"FRONTIER_TECH_CAPACITY"},
    {"id":"GC-RS-IN-002","region":"South Asia","country":"India","language":"en","title":"Reimagining Manufacturing: India’s Roadmap to Global Leadership in Advanced Manufacturing","author":"NITI Aayog","year":2025,"source_class":"OFFICIAL_PRIMARY","url":"https://www.niti.gov.in/sites/default/files/2025-10/Reimagining_Manufacturing_Indias_Roadmap_to_Global_Leadership_in_Advanced_Manufacturing.pdf","frame":"Factory, supply-chain and innovation-ecosystem transformation through frontier technologies.","relation":"ADVANCED_MANUFACTURING"},
    {"id":"GC-RS-ES-001","region":"Europe","country":"Spain","language":"es","title":"Hispania 2040: Cómo la Inteligencia Artificial Mejorará Nuestro Futuro","author":"La Moncloa","year":2025,"source_class":"OFFICIAL_PRIMARY","url":"https://www.lamoncloa.gob.es/presidente/intervenciones/Paginas/2025/20250120-presidente-gobierno-hispania.aspx","frame":"Productivity, work augmentation and social-economic transformation under an explicitly public-policy framing.","relation":"HUMAN_AUGMENTATION_AT_WORK"},
    {"id":"GC-RS-IT-001","region":"Europe","country":"Italy","language":"it","title":"Strategia Italiana per l’Intelligenza Artificiale 2024–2026","author":"AgID","year":2024,"source_class":"OFFICIAL_PRIMARY","url":"https://www.agid.gov.it/sites/agid/files/2024-07/Strategia_italiana_per_l_Intelligenza_artificiale_2024-2026.pdf","frame":"Transformative productive potential coupled to anthropocentric, trustworthy and sustainable development.","relation":"ANTHROPOCENTRIC_TRANSFORMATION"},
    {"id":"GC-RS-AE-001","region":"Middle East","country":"United Arab Emirates","language":"en","title":"UAE Charter for the Development and Use of Artificial Intelligence","author":"UAE Government","year":2026,"source_class":"OFFICIAL_PRIMARY","url":"https://u.ae/en/about-the-uae/strategies-initiatives-and-awards/policies/Ai/The-UAE-Charter-for-the-Development-and-Use-of-Artificial-Intelligence","frame":"Innovation and productivity constrained by human well-being, rights, safety, sustainability and accountability.","relation":"HUMAN_MACHINE_COEXISTENCE"},
    {"id":"GC-RS-LAC-001","region":"Latin America & Caribbean","country":"Regional","language":"es","title":"Índice Latinoamericano de Inteligencia Artificial (ILIA) 2025","author":"CEPAL / CENIA","year":2025,"source_class":"INTERNATIONAL_ORG_PRIMARY","url":"https://www.cepal.org/es/publicaciones/82514-indice-latinoamericano-inteligencia-artificial-ilia-2025","frame":"AI capacity depends on enabling factors, R&D/adoption, human capital and governance across 19 countries.","relation":"CONDITIONS_OF_CAPACITY"}
  ]
}