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 "identifier": "kaal:position:2026-07-31-6336",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Web3 Decentralized Business Models 22B58173Aa",
 "text": "Web3 Decentralized Business Models presents the following source proposition: Furthermore, the model expands on the blocks of community and customer, tokenomics, and incentive and reward structures. This proposition is pertinent to Kaal's source-bound claim that Because annotating large datasets is labor intensive and expensive, smart contracts that reward community members with tokens for annotation are needed to sustain a steady flow of high quality labeled data for deep learning. 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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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "extension",
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  "risk-and-incentives",
  "smart-contracts",
  "historical-response",
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  "openalex"
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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: 0.4348.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Web3 Decentralized Business Models",
  "url": "https://doi.org/10.24251/hicss.2024.712"
 },
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  "identifier": "kaal:claim:4855607-027",
  "url": "https://wulfkaal.github.io/claims/4855607-027",
  "citation": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607",
  "paper": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2024",
  "ssrn": "https://ssrn.com/abstract=4855607",
  "source_pdf_sha256": "eb0b3e62374b45a8fa888c6bde9725e606bcb46cf4b5e74a6e851d9f25099113"
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   "@type": "CreativeWork",
   "name": "Web3 Decentralized Business Models",
   "url": "https://doi.org/10.24251/hicss.2024.712"
  }
 ],
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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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 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-6336",
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 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: web3, community, tokenomics, reward. Scope: supervised deep learning that depends on large labeled datasets.",
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  "sourceRecordId": "https://openalex.org/W4407074517",
  "queryId": "concept:ee778ad15ea3",
  "queryText": "decentralized autonomous organization",
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  "workId": "work:doi:10.24251/hicss.2024.712",
  "workAuthors": [
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   "Signe Agerskov",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: web3, community, tokenomics, reward. Scope: supervised deep learning that depends on large labeled datasets.",
    "ambiguous": true
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: web3, community, tokenomics, innovation. Scope: reputation tokens are non fungible and chain agnostic.",
    "ambiguous": true
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: expands, tokenomics, reward. Scope: conditional on SEC approval of the NASDAQ framework.",
    "ambiguous": true
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    "confidence": 0.3874,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: decentralized, business, tokenomics, incentive. Scope: review source claim scope.",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: furthermore, tokenomics, digital. Scope: the VOW ecosystem as a case study.",
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