Clarus Boundary Audit
(Boundary Failure Diagnosis)
Identify Where Meaning Breaks Before Systems Do
Boundary failures occur when reasoning crosses a framework boundary without preserving meaning. They are not bugs in equations or gaps in data. They are failures of translation.
Clarus Boundary Audit
The Clarus Boundary Audit isolates failures at the moment they occur—
before paradoxes form, before systems diverge, before repair becomes impossible.
What Is a Boundary Failure?
A boundary failure happens when a concept, assumption, or rule of inference is carried beyond the conditions that give it meaning.
The symbol survives.
The operation does not.
The result is reasoning that appears valid while quietly losing contact with its domain.
What We Diagnose
We pinpoint leaks in conceptual translation:
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Concepts crossing into frameworks that cannot support them
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Background assumptions that change without declaration
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Definitions that persist after their operational basis collapses
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Inference rules that outlive their licensing conditions
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Conclusions drawn beyond the boundary of meaning
We focus on interfaces, not interiors.
The Diagnostic Engine
At every framework crossing, we apply the same three-part test:
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What is being transferred?
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What operational support gives it meaning?
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Does that support survive in the target framework?
If support survives, the transition is valid.
If it does not, the failure is explicitly marked.
No ambiguity.
No deferred justification.
Mini-Example: A Boundary Failure in Action
A frequentist statistical result (p < 0.05) is used as direct input to a Bayesian decision engine without a correspondence rule.
The symbol persists: p < 0.05
The meaning does not: the frequentist operational meaning—long-run frequency under repeated trials—does not survive the transition to a Bayesian framework of belief updating.
The result is a decision process that appears rigorous while resting on an invalid transfer of meaning.
A Clarus Boundary Audit would halt this transfer or require a scoped replacement with declared assumptions.
Your Deliverable: A Map of Conceptual Integrity
You receive:
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Explicit boundary-failure markers
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Classification of failure mode (Drift, Absence, Contamination)
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Clear explanation of why meaning fails
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Defined limits of validity
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Options for scoped replacement where possible
Failure is not hidden.
It is mapped.
Why This Matters
Boundary failures are the root cause of:
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False paradoxes
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Unstable multi-model systems
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Irreparable late-stage contradictions
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Wasted research and engineering effort
Diagnosing them early prevents downstream collapse.
When Is a Boundary Audit Required?
Use it when:
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A conclusion spans multiple models or domains
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A concept is reused outside its native context
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A system reasons across time, scale, or abstraction
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Results look correct but feel unstable
If reasoning crosses a boundary, an audit is required.
The Outcome
You know exactly where meaning holds.
You know precisely where it does not.
Your work gains clear limits, stable claims, and defensible scope.
The Clarus Boundary Audit does not weaken conclusions.
It makes them survivable.