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OA-03\enrollment-admission

The architectural challenge of establishing a machine-native enrollment process requires a fundamental departure from legacy identity paradigms, which invariably rely on human cognitive evaluation as the ultimate arbiter of legitimacy. This investigation responds to the bounded research question determining what publicly specified process could admit legitimate autonomous participants, constrain abuse, and preserve…

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Source fileAutonomous Machine Enrollment Analysis.md

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OA-03\enrollment-admission
1\. report.md
Machine-Native Enrollment and Admission Without Cognitive Profiling
The Advertised Entry Contract and Current Discrepancies
Minimizing Eligibility Requirements and Decoupling Identity
Constraining Repeated or Abusive Enrollment Natively
Removing Accidental Human Dependencies and Fallbacks
Making Failure, Idempotency, and Redress Explicit

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