Paper 193 of 383
Published May 31, 2026
An observational framework becomes more useful when it generates expectations regarding future observations. These expectations may then be compared against newly evaluated geological systems.
This paper evaluates predictive constraint behavior using recurrence frequency, convergence density, structural continuity, geographic persistence, and signal ranking developed throughout the ABC Sequencing framework.
Reference systems include the Aegean domain, Levant corridor, Arabian structural provinces, Zagros Fold Belt, Himalayan Orogen, Mariana Trench region, and comparative global geological systems.
The objective is to determine whether recurring constraints provide sufficient information to generate testable expectations regarding future observations.
Within ABC Sequencing, predictive evaluation does not imply certainty. It simply asks whether previously identified constraint relationships remain useful when the framework is applied to new datasets.
The value of a predictive framework is measured by performance rather than intention.
This paper introduces predictive evaluation as a framework for determining whether recurring geological constraints can generate useful expectations for future investigation.
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