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 "identifier": "kaal:position:2026-07-31-7473",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Cost Driven Governance In Open Source Ai Innovation Commons Comparative  488A869Dac",
 "text": "Cost-Driven Governance in Open-Source AI Innovation Commons: Comparative Evidence from Jittor and OpenHarmony in China presents the following source proposition: As artificial intelligence (AI) innovation increasingly depends on open-source collaboration, sustaining open-source AI ecosystems has become a critical governance challenge. This proposition is pertinent to Kaal's source-bound claim that Critics who dismiss artificial intelligence on boards as science fiction not worth engaging are wrong: AI on boards is a real prospect, and technologies such as blockchain-based smart contracts will both disrupt corporate governance and supply solutions to it. The proposed response is a qualification: 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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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
 "keywords": [
  "ai-and-agents",
  "blockchain",
  "governance-design",
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  "innovation",
  "historical-response",
  "scholarly-literature",
  "crossref"
 ],
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  "The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3801.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Cost-Driven Governance in Open-Source AI Innovation Commons: Comparative Evidence from Jittor and OpenHarmony in China",
  "url": "https://doi.org/10.2139/ssrn.7196882"
 },
 "extends": {
  "identifier": "kaal:claim:2922176-034",
  "url": "https://wulfkaal.github.io/claims/2922176-034",
  "citation": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, The ‘Unmediated’ and ‘Tech-Driven’ Corporate Governance of Today's Winning Companies (2017). SSRN: https://ssrn.com/abstract=2922176",
  "paper": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, The ‘Unmediated’ and ‘Tech-Driven’ Corporate Governance of Today's Winning Companies",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2017",
  "ssrn": "https://ssrn.com/abstract=2922176",
  "source_pdf_sha256": "fa4e986917d437cb1504281e7b986be2698e9507d8feaf426c9d7d1754ca882c"
 },
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   "name": "Cost-Driven Governance in Open-Source AI Innovation Commons: Comparative Evidence from Jittor and OpenHarmony in China",
   "url": "https://doi.org/10.2139/ssrn.7196882"
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 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
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 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: driven, governance, innovation, artificial, intelligence. Scope: review source claim scope.",
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  "sourceRecordId": "10.2139/ssrn.7196882",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.2139/ssrn.7196882",
  "doi": "10.2139/ssrn.7196882",
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  "workAuthors": [
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: driven, governance, innovation, artificial, intelligence. Scope: review source claim scope.",
    "ambiguous": true
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: source, innovation, artificial, intelligence, has. Scope: private investment fund industry; period of roughly 2007 to 2017.",
    "ambiguous": true
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: innovation, comparative, artificial, intelligence. Scope: first mover law schools that make the financial investment; a threshold point of law firm adoption is reached.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/2922176-015",
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    "confidence": 0.3673,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: driven, governance, innovation, depends, critical. Scope: S&P 500 companies, 2012 to 2016 revenue growth data.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: driven, innovation, artificial, intelligence. Scope: the 2010s wave of deep learning tools in legal practice.",
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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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