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 "name": "Streaming Digital Government And Digital Governance 8F61F444E8",
 "text": "Digital Government and Digital Governance presents the following source proposition: By leveraging technologies such as cloud computing, artificial intelligence, big data, and blockchain, digital government seeks to modernize public sector operations. This proposition is pertinent to Kaal's source-bound claim that Anecdotal evidence suggests that the majority of private fund advisers who use blockchain, artificial intelligence, and big data in their operations or strategy charge substantially lower fees than advisers who do not use these technologies. 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": {
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  "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: 0.5768.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Digital Government and Digital Governance",
  "url": "https://doi.org/10.4018/979-8-3693-9286-7.ch001"
 },
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  "url": "https://wulfkaal.github.io/claims/2998033-030",
  "citation": "Wulf A. Kaal, Blockchain Innovation for Private Investment Funds (2017). SSRN: https://ssrn.com/abstract=2998033",
  "paper": "Wulf A. Kaal, Blockchain Innovation for Private Investment Funds",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2017",
  "ssrn": "https://ssrn.com/abstract=2998033",
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   "url": "https://doi.org/10.4018/979-8-3693-9286-7.ch001"
  }
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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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 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: technologies, artificial, intelligence, big, data, blockchain, operations. Scope: characterized by the author as anecdotal rather than sample based evidence.",
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    "whyRelevant": "Shared high-information concepts: technologies, artificial, intelligence, big, data, blockchain, operations. Scope: characterized by the author as anecdotal rather than sample based evidence.",
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    "whyRelevant": "Shared high-information concepts: artificial, intelligence, big, data, blockchain, operations. Scope: advisers using the technologies in operations or strategy.",
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    "whyRelevant": "Shared high-information concepts: governance, technologies, such, artificial, intelligence, blockchain. Scope: review source claim scope.",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, big, data, blockchain. Scope: private investment fund industry; period of roughly 2007 to 2017.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: artificial, intelligence, big, data, blockchain. Scope: large fund advisers as of 2019.",
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 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0009, SHA-256 b79e655db33b69d4e6de8a205792c1e02d068eea4880d69cd6faeb884041abdf, as written and authorize publication of all 250 response claims on my canonical property, preserving their evidence levels, ambiguity labels, provenance, and the unchanged 5,033 scholarly claims.",
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