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 "text": "AI-Enabled Macroeconomic Governance in Tourism: A Market-Failure Perspective Using Machine Learning and Big Data Analytics should be assessed against Kaal's source-bound claim that Banks are uniquely positioned to discipline hedge fund behavior because their role as lenders, market makers, and product creators lets them use the threat of cutting off future lending as leverage over a fund. The current metadata indicates a plausible connection through algorithmic regulation, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "Mapping review tier: ambiguity triage before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
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  "identifier": "kaal:claim:2714974-031",
  "url": "https://wulfkaal.github.io/claims/2714974-031",
  "citation": "Kaal and Oesterle, The History of Hedge Fund Regulation in the United States (2016). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2714974",
  "paper": "The History of Hedge Fund Regulation in the United States",
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  "ssrn": "",
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 "mappingWhyRelevant": "Shared high-information concepts: market, improve, them, regulation, risk, discipline. Scope: depends on banks' ongoing lending and counterparty relationships with the fund.",
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  "query": "algorithmic regulation",
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  "retrievedAt": "2026-07-31T13:58:30.108Z",
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  "venue": "Finance and Trade Dynamics",
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