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 "name": "Streaming Ai Agents As Institutional Actors Toward A Sociology Of Agentic Governan 9B75Dbb472",
 "text": "AI Agents as Institutional Actors: Toward a Sociology of Agentic Governance presents the following source proposition: This article argues that when organizations treat the outputs of AI agents as institutionally binding, these systems cross a threshold from instruments into institutional actors. This proposition is pertinent to Kaal's source-bound claim that Contemporary AI's incapacity for authentic judgment under irreducible uncertainty is an institutional deficit rather than a computational one: an agent that bears no consequence for its errors cannot develop genuine discernment, no matter how capable it becomes. 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.",
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3599.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://doi.org/10.6914/dsvg.010203"
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  "citation": "Wulf A. Kaal, AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment (2026). SSRN: https://ssrn.com/abstract=6244278",
  "paper": "Wulf A. Kaal, AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2026",
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    "whyRelevant": "Shared high-information concepts: agents, institutional, toward, agentic, cross. Scope: holds within the institutional architecture described, where reputation tracks trustworthiness.",
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