Structural Admission: Verify Dependency Structures Before Learning Interpretation
Structural Admission is a Python tool for verifying task dependency structures before learning interpretation.
Structural Admission is a Python tool designed to test the claimed dependency structures of tasks before interpreting learning outcomes in staged environments. Researchers can implement a task adapter and a scripted oracle while maintaining core calibration and evaluation logic. The tool confirms that tasks meet preregistered operational checks but does not guarantee learnability or external validity.
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