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  "Title": "Construct and Audit Longitudinal Decision Paths",
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  "Description": "Tools for constructing and auditing longitudinal decision\npaths from panel data. Implements a decision infrastructure\nframework for representing institutional AI systems as\ngenerators of time-ordered binary decision sequences. Provides\nfunctions to build path objects from panel data, summarise\nper-unit descriptors (dosage, switching rate, onset, duration,\nlongest run), compute the Decision Reliability Index (DRI)\nfollowing Cronbach (1951) <doi:10.1007/BF02310555>, estimate\nShannon decision-path entropy following Shannon (1948)\n<doi:10.1002/j.1538-7305.1948.tb01338.x>, classify systems by\ninfrastructure type (static, periodic, continuous,\nhuman-in-the-loop), and evaluate subgroup disparities in\ndecision exposure and stability. Applications include\neducation, policy, health, and organisational research.",
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  "Encoding": "UTF-8",
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  "Date/Publication": "2026-03-14 15:39:13 UTC",
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