{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-08-28-003",
 "identifier": "kaal:position:2026-08-28-003",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Reputation Systems Qualify Portable Machine Speed Reputation",
 "text": "Resnick, Zeckhauser, Friedman, and Kuwabara support one component of Kaal's counterparty-selection claim: a reputation system collects, distributes, and aggregates feedback about past behavior so parties who do not know one another can decide whom to trust. Their 2000 article also qualifies portability. It reports that cross-system rating transfer failed in practice and that limited distribution confined reputation's effect to one online arena. The article does not compare reputation with contract, regulation, or brand and does not establish that those alternatives fail at machine speed. Its support reaches only the stranger-trust function of aggregated past conduct.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
 "datePublished": "2026-08-28",
 "dateModified": "2026-08-28",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
 "keywords": [
  "reputation",
  "economics",
  "institutional-design",
  "ai-and-agents"
 ],
 "scope_conditions": [
  "Human online markets rather than autonomous-agent transactions.",
  "No evidence concerning contract, regulation, or brand at machine speed.",
  "Portability was limited and long-lived identity was an operating precondition."
 ],
 "currentDebate": {
  "name": "Reputation Systems",
  "url": "https://rzeckhauser.scholars.harvard.edu/publications/reputation-systems"
 },
 "extends": {
  "identifier": "kaal:claim:7314479-043",
  "url": "https://wulfkaal.github.io/claims/7314479-043",
  "citation": "Wulf A. Kaal, Institutional Requirements for Sovereign Local Agent Runtimes (2026). SSRN: https://ssrn.com/abstract=7314479",
  "paper": "Wulf A. Kaal, Institutional Requirements for Sovereign Local Agent Runtimes (2026). SSRN: https://ssrn.com/abstract=7314479",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2026",
  "ssrn": null,
  "source_pdf_sha256": "debace24a155ae924a155b1fafe98856d98cf83689feff2f87a32f1c06171ce6"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/7314479-043"
  },
  {
   "@type": "CreativeWork",
   "name": "Reputation Systems",
   "url": "https://rzeckhauser.scholars.harvard.edu/publications/reputation-systems"
  }
 ],
 "batch_id": "kaal-growth:2026-08-28:daily-001-remediated-v1",
 "review_provenance": "https://wulfkaal.github.io/positions-src/2026-08-28-compound-growth-kaal-growth-2026-08-28-daily-001-remediated-v1.json",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
 "isPartOf": {
  "@id": "https://wulfkaal.github.io/positions/index.json"
 },
 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-08-28-003",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-08-28-003.md",
 "candidateId": "kaal:candidate:f779922b184cc2370666bceff96ad614829e0cfb53b3a252cff9be020eaa5640",
 "evidenceLevel": "permitted_full_text",
 "reviewTier": "independent evidence-first compound-growth review",
 "mappingConfidence": null,
 "mappingAmbiguous": false,
 "mappingMethod": "independent one-to-one proposition and mechanism review",
 "mappingWhyRelevant": "Resnick and coauthors support reputation as aggregated past-behavior feedback used by strangers to decide whom to trust. They do not compare contract, regulation, or brand, establish their failure at machine speed, or make reputation intrinsically portable across systems.",
 "sourceProvenance": {
  "canonicalUrl": "https://rzeckhauser.scholars.harvard.edu/publications/reputation-systems",
  "retrievedAt": "2026-08-28T13:59:11Z",
  "sourceContentSha256": "f8ed478805ec71f1c0ee0b1c205388ff1ed078c50a2bc030ffa6d11d03231b7c",
  "sourceProposition": "Reputation systems collect and distribute feedback about past behavior so participants can decide whom to trust in online interactions where parties may not know one another.",
  "sourcePropositionSha256": "69fd620781a260fd50c9582720ac8ffbf029d8b5c07ece45d2f25c2eb91d9d17",
  "normalizedWorkId": "harvard-scholar:resnick-zeckhauser-friedman-kuwabara-2000",
  "sourceVersion": "published",
  "exactEvidenceQuote": "A reputation system collects, distributes, and aggregates feedback about participants' past behavior. Though few producers or consumers of the ratings know one another, these systems help people decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest.",
  "exactEvidenceQuoteSha256": "8fda512d7656b2ab2298c3a3846c1316c2ccd67fa6002b7f791cac79ad175b82",
  "claimMappings": [
   {
    "claimId": "kaal:claim:7314479-043",
    "confidence": null,
    "method": "independent one-to-one review",
    "whyRelevant": "Resnick and coauthors support reputation as aggregated past-behavior feedback used by strangers to decide whom to trust. They do not compare contract, regulation, or brand, establish their failure at machine speed, or make reputation intrinsically portable across systems.",
    "ambiguous": false
   }
  ]
 },
 "userAffirmation": "Standing scholarly-growth preauthorization bound to 43b5726c8369904d8596ab3b06b7be37290a6b29fc158dcbb757e38b98e8e5ec; publication remains conditional on successful projection, deployment, and live-byte verification.",
 "publicIdentitySha256": "f779922b184cc2370666bceff96ad614829e0cfb53b3a252cff9be020eaa5640",
 "sha256": "b3201f7b3dbd9965d10c8eb97c36ef36b486fd5deadd316723dcb6793d33d67f"
}