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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-1949",
 "identifier": "kaal:position:2026-07-31-1949",
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 "name": "Historical 84B6E11B381F0D50A8C3",
 "text": "A Study of the Impact of Government Regulation on Job Satisfaction of Platform Workers should be assessed against Kaal's source-bound claim that Prior work by Kaal shows that Dodd-Frank Act registration and increased compliance requirements only marginally increase the cost structure of private funds, and finds non-robust evidence that higher administrative costs are a second-order effect that does not affect overall private fund returns. 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.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
 "keywords": [
  "compliance",
  "private-funds"
 ],
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  "prior survey and cost data in Kaal 2013a, 2015b, 2015c, 2016",
  "evidence described as non-robust",
  "External evidence level: abstract indexed.",
  "Mapping review tier: mapping review before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
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  "name": "A Study of the Impact of Government Regulation on Job Satisfaction of Platform Workers",
  "url": "https://www.semanticscholar.org/paper/e69e648db4231aa05f3e8e37f1a5cb1926274928"
 },
 "extends": {
  "identifier": "kaal:claim:2816408-031",
  "url": "https://wulfkaal.github.io/claims/2816408-031",
  "citation": "Wulf A. Kaal, Barbara Luppi, Sandra Paterlini, Did the Dodd-Frank Act Impact Private Fund Performance  - Evidence from 2010 - 2015 (2016). SSRN: https://ssrn.com/abstract=2816408",
  "paper": "Barbara Luppi, Sandra Paterlini, Did the Dodd-Frank Act Impact Private Fund Performance  - Evidence from 2010 - 2015",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2016",
  "ssrn": "https://ssrn.com/abstract=2816408",
  "source_pdf_sha256": "dc3b2f9e60e42ea1b42c2e0062d65569675b014c05fcd30b15ad44d2410b2ce7"
 },
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   "@id": "https://wulfkaal.github.io/claims/2816408-031"
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  }
 ],
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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.",
 "isPartOf": {
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 },
 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-1949",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-1949.md",
 "candidateId": "kaal:response-candidate:2026-07-31:0b69f63d911637ff",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "mapping review before claim review",
 "mappingConfidence": 0.2645,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: impact, regulation, 2010, administrative, effect, increase, compliance, costs. Scope: prior survey and cost data in Kaal 2013a, 2015b, 2015c, 2016; evidence described as non-robust.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "algorithmic regulation",
  "queryId": "concept:dda0987aa1ad",
  "page": 1,
  "sourceRank": 237,
  "retrievedAt": "2026-07-31T13:58:30.108Z",
  "citationCount": 0,
  "venue": "Academic Conferences Series",
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