Program
Health is treated as a prospective, indexed proposition before it is treated as a measurement.
Paper I begins from a present state and a declared health specification. It separates present constitution from future adequacy and defines prospective health through the normal form present realization + requirement-adequate continuation capacity. Scenario, horizon, and formal requirement remain explicit indices rather than being absorbed into one undifferentiated label.
The response semantics are built upstream of capacity. Lawful histories are restricted by the constitution to the complete viable-continuation family, and capacity is then formed as a downstream observation and collection of that family. This distinction permits the framework to state exactly where information can be compressed and where stronger response semantics are required.
Paper I also constructs the requirement-visible capacity quotient: two capacity values are equivalent exactly when every declared health requirement gives the same adequacy answer on both. The quotient therefore retains precisely the information visible to the declared health language. A universal property shows that every requirement-sufficient representation determines this quotient on its attained range.
The foundational paper ends with explicit boundaries rather than extending its authority beyond the proved layer. Positive prospective capacity does not in general determine failure-sensitive robustness, and observation of present realization alone need not determine prospective health. These stopping points define the work handed forward to later papers.
What information must be preserved for health to be a well-defined prospective property, and what additional structure is required before that property can be measured, licensed, or used empirically?
The series is intentionally open. Later papers can govern admissible requirement, scenario, and horizon families; enrich response structure with robustness, probability, risk, cost, and control; establish physiological measurement sufficiency; and develop the empirical identification and validation layers required to connect the formal health proposition to real biological and clinical observations.