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 "name": "Streaming Enhancing Adaptive And Sustainable Resilience Through Artificial Intelli 15D115792D",
 "text": "Enhancing adaptive and sustainable resilience through artificial intelligence, machine learning, internet of things, big data analytics, and blockchain presents the following source proposition: The research problem revolves around the ways these emerging technologies can be used hand in hand with each other and result in the following outcomes: predictive capabilities, adaptive response, distributed trust mechanism, and real time intelligence which makes systems resilient. This proposition is pertinent to Kaal's source-bound claim that Law schools that invest early in artificial intelligence, machine learning, and blockchain will gain a comparative advantage over peer schools irrespective of ranking, because demand for lawyers trained in those technologies is likely to spike once law firm adoption crosses a threshold. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3562.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://www.semanticscholar.org/paper/ddfb65d7124f4599502294ec2ec92a22942e2456"
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  "url": "https://wulfkaal.github.io/claims/2939127-004",
  "citation": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Legal Education in the Blockchain Revolution (2017). SSRN: https://ssrn.com/abstract=2939127",
  "paper": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Legal Education in the Blockchain Revolution",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2017",
  "ssrn": "https://ssrn.com/abstract=2939127",
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 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "mappingWhyRelevant": "Shared high-information concepts: artificial, intelligence, machine, learning, blockchain, technologies. Scope: first mover law schools that make the financial investment; a threshold point of law firm adoption is reached.",
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    "whyRelevant": "Shared high-information concepts: through, machine, learning, big, data, blockchain. Scope: settings where Legal Tech and blockchain generate usable data at scale.",
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    "whyRelevant": "Shared high-information concepts: blockchain, technologies, distributed, trust, real, time. Scope: charitable donation flows recorded on distributed ledgers.",
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