Deterministic Checks, Model Judges, and Humans

Deterministic Checks, Model Judges, and Humans

Fact-check status

Reviewed claim by claim on 2026-09-02 against the primary or official sources identified inline as S1 and S2. Recommendations are design guidance unless a cited standard makes them normative.

Key jargon

Term Plain-language meaning
Deterministic check A rule with reproducible output, such as schema validation or exact comparison. S1
Model judge A model asked to score or compare outputs against criteria. S1
Human calibration Comparing automated grades with qualified human judgments. S1
Inter-rater agreement The extent to which independent graders reach compatible judgments. S1

Key concepts

Concept map

flowchart LR
    A["Run objective checks"] --> B["Apply rubric-based judge"]
    B --> C["Sample human review"]
    C --> D["Calibrate thresholds and graders"]

Diagram semantics verified against S1 and S2 on 2026-09-02.

Evaluator Best for Limits S1
Deterministic code Schema, exact values, tests, invariants Cannot judge open-ended usefulness alone S1
Model judge Scaled rubric application and semantic comparison Bias, instability, shared blind spots, prompt sensitivity S1
Human reviewer Context, consequence, novelty, disputed cases Cost, inconsistency, fatigue S1

Use deterministic checks first, calibrated model review for scalable judgment, and humans for high-impact or ambiguous cases. Compare model judges against human-labeled samples. S1

Evidence-backed grading

Grade demonstrated behavior, not a claimed success string. Preserve source spans, tool traces, test output, state transitions, and effect receipts. S1

Exercise

Score ten summaries with a deterministic citation check, a model rubric, and two humans. Calculate disagreement categories and revise the rubric.