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 "name": "Historical 0D4163F35114983Da169",
 "text": "When Big Data Meet Securitization. Algorithmic Regulation with Passenger Name Records should be assessed against Kaal's source-bound claim that The availability of big data and algorithmic analytics increasingly limits individual choice, free will and the diversity of human experiences and actions, because the more analytics are available the less people make decisions that contradict them. 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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 "dateModified": "2026-07-31",
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  "domains where predictive analytics outperform individual judgment, for example DNA and health analytics",
  "External evidence level: metadata only.",
  "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."
 ],
 "currentDebate": {
  "name": "When Big Data Meet Securitization. Algorithmic Regulation with Passenger Name Records",
  "url": "https://www.semanticscholar.org/paper/44d04830e06a76eb949018b1664b4bcad3d63347"
 },
 "extends": {
  "identifier": "kaal:claim:3808873-030",
  "url": "https://wulfkaal.github.io/claims/3808873-030",
  "citation": "Wulf A. Kaal, Decentralization Neutralizers (2021). SSRN: https://ssrn.com/abstract=3808873",
  "paper": "Decentralization Neutralizers",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2021",
  "ssrn": "https://ssrn.com/abstract=3808873",
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 ],
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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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 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-1286",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-1286.md",
 "candidateId": "kaal:response-candidate:2026-07-31:cb9ca60e765f49ae",
 "evidenceLevel": "metadata only",
 "reviewTier": "mapping review before claim review",
 "mappingConfidence": 0.3279,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: big, data, algorithmic. Scope: domains where predictive analytics outperform individual judgment, for example DNA and health analytics.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "algorithmic regulation",
  "queryId": "concept:dda0987aa1ad",
  "page": 1,
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  "retrievedAt": "2026-07-31T13:58:30.108Z",
  "citationCount": 1,
  "venue": "European Journal for Security Research",
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 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
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