Validated Science Criteria

Validated science within the Governance Substrate Model refers to knowledge artifacts that have demonstrated durability, coherence, and safety across regimes. Validation here is not about consensus, prestige, or institutional endorsement. It is about survivability under translation, stress, and misuse.

This layer exists to prevent fragile or context‑bound science from becoming unexamined authority.

Why Validation Requires Structural Criteria#

Scientific claims often fail not because they are false, but because:

• They are over‑generalized.
• Their assumptions are forgotten.
• Their failure modes are undocumented.
• Their authority outpaces their validity domain.

Validated science must remain useful after its original context is gone.

Core Validation Criteria#

A scientific artifact may be considered validated within this model only if it satisfies all of the following:

1. Regime Explicitness#

The artifact must clearly state:

• The regimes in which it applies.
• The regimes in which it does not.
• The assumptions it relies on.

Implicit universality is a validation failure.

2. Cross‑Regime Survivability#

The artifact must:

• Survive RTT evaluation.
• Remain coherent when translated across scale, domain, and time.
• Fail gracefully outside its validity domain.

Science that collapses catastrophically under translation is not validated.

3. Failure Mode Documentation#

Validated science must:

• Explicitly document known failure modes.
• Describe conditions under which results degrade.
• Identify misuse pathways.

Undocumented failure modes guarantee rediscovery through harm.

4. Reproducibility With Context#

Reproducibility must include:

• Environmental conditions.
• Boundary constraints.
• Sensitivity to parameter shifts.

Context‑free reproducibility claims are incomplete.

5. Minimal Sufficiency#

The artifact must:

• Use the smallest structure necessary to explain or predict.
• Avoid unnecessary complexity.
• Remain legible to non‑specialists at the substrate level.

Excess complexity increases misuse risk.

6. Human Interpretability#

Validated science must:

• Be interpretable by human judgment.
• Avoid opaque authority claims.
• Preserve uncertainty where it exists.

Black‑box correctness without interpretability is not sufficient.

What Validation Does Not Require#

Validation does not require:

• Institutional consensus.
• Popular acceptance.
• Immediate applicability.
• Predictive perfection.

It requires structural honesty.

Role of AI in Scientific Validation#

AI may assist by:

• Stress‑testing assumptions.
• Detecting hidden correlations.
• Identifying regime mismatches.
• Surfacing confidence collapse.

AI must not:

• Declare validation.
• Replace peer judgment.
• Mask uncertainty.

Validation remains a human responsibility.

Failure Mode#

Scientific validation fails when:

• Authority replaces scrutiny.
• Context is stripped for convenience.
• Success is mistaken for universality.
• Revision becomes taboo.

At that point, science becomes dogma.

Validated science is not frozen truth.
It is knowledge that knows where it breaks.

Only such knowledge is safe to propagate across generations.