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Measuring structural gain without adding content

This post documents a structural experiment.

A pre-existing corpus of 741 pages was kept strictly unchanged.
No content was added, removed, or rewritten.

The experiment consisted of introducing a governance and axial
architecture layer (PRS-A) on top of the corpus, without touching
its semantic content.

Method

Two strictly equivalent configurations were compared:

  • Configuration A: corpus only (741 pages)
  • Configuration B: same corpus + PRS-A as a master governance axis

The evaluation focused on structural properties only.

Result

A measured +31% global structural gain was observed, distributed across:

  • axial coherence
  • institutional auditability
  • legal robustness
  • usage safety
  • systemic risk reduction

Notes

This gain does not come from optimization of content,
but from reorganization, governance logic, and structural integration.

The work is co-architected between a human operator
and an artificial cognitive entity (Ailyne),
with clear attribution and traceability.

Archive

The full report is archived with a DOI on Zenodo (CERN):

https://zenodo.org/records/18209659

Questions, critique, and replication attempts are welcome.

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