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Domain Language

Decision language must reveal policy and uncertainty rather than make a score sound like authority.

Term Meaning
candidate A bounded entity being evaluated, with identity, evidence references, metrics, flags, provenance, and confidence
candidate cohort The exact comparison set to which a ranking applies
fingerprint Stable identity for the contract-relevant candidate state used in an evaluation
evidence posture A structured account of support, gaps, contradictions, provenance, and readiness
falsifier An observation or test that would weaken or overturn a favored interpretation
scenario A declared decision context with assumptions, actions, confidence, and unresolved questions
policy Explicit gates, criteria, thresholds, weights, and uncertainty treatment used to reach an outcome
score A policy-dependent numerical evaluation; not an intrinsic property of a candidate
ranking An ordering valid for one cohort, evidence snapshot, and policy
hold pressure The degree to which scenario evaluations favor delaying action
confidence spread Variation in confidence across scenarios, used to expose instability
downgrade chain Ordered reasons a stronger recommendation became conditional, held, or refused
refusal A governed non-recommendation that names the unmet condition and minimum missing evidence
escalation A requirement for human arbitration because conflict or uncertainty exceeds policy limits
advisory output Decision support with no execution authority
enforced policy An advisory output explicitly promoted by a named actor under a named policy
regret Retrospective cost of a decision compared with an alternative after outcomes are known

A high score is not high confidence, a top rank is not evidence truth, consensus is not certainty, and enforcement is not scientific validation. Each statement answers a different question and must retain its policy and evidence context.