Operational Quantification and Calibration of Admissibility within the Paton System

This paper operationalises admissibility evaluation within the Paton System through the Paton Admissibility Quantification Framework (PAQF). The framework introduces numerical scoring across Boundary, Relation, and Persistence axes, enabling repeatable cross-domain viability assessment without modification of underlying models. A ten-case anchor calibration set evaluated by multiple operators demonstrates interpretive stability and scalar robustness. Statistical reliability indicators reinforce scoring consistency and diagnostic applicability across engineering, governance, artificial intelligence, and complex systems domains. This work advances admissibility evaluation from conceptual formulation to calibrated operational methodology while maintaining non-interfering overlay positioning within Tier-3 evaluation of the Paton System.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-13
DOI
https://doi.org/10.5281/zenodo.18631169
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
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article

Operational Quantification and Calibration of Admissibility within the Paton System

Andrew John Paton
Zenodo (CERN European Organization for Nuclear Research)
Probabilistic and Robust Engineering Design
article

Operational Quantification and Calibration of Admissibility within the Paton System

Andrew John Paton
article en

Abstract

This paper operationalises admissibility evaluation within the Paton System through the Paton Admissibility Quantification Framework (PAQF). The framework introduces numerical scoring across Boundary, Relation, and Persistence axes, enabling repeatable cross-domain viability assessment without modification of underlying models. A ten-case anchor calibration set evaluated by multiple operators demonstrates interpretive stability and scalar robustness. Statistical reliability indicators reinforce scoring consistency and diagnostic applicability across engineering, governance, artificial intelligence, and complex systems domains. This work advances admissibility evaluation from conceptual formulation to calibrated operational methodology while maintaining non-interfering overlay positioning within Tier-3 evaluation of the Paton System.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 61%
Probabilistic and Robust Engineering Design
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