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A closed, non-narrative formal corpus for auditable decision-making

This post presents a closed, non-narrative formal corpus developed through iterative structural validation.

The corpus does not provide:
– opinions
– interpretations
– prescriptions
– authority claims

It encodes only:
– explicit invariants
– decision thresholds
– formal stopping conditions
– failure modes

There is no adaptive interpretation layer.
No narrative justification.
No contextual tuning.

The framework is designed to be evaluated structurally:
it either holds under audit, or it fails.

Primary scope:
– decision-making under constraint
– reasoning formalization
– human / AI cognitive alignment
– reproducibility and explicit stop mechanisms

Repository (OSF):
https://osf.io/ub5f4

Feedback is welcome strictly on:
– structural coherence
– formal consistency
– auditability

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