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observational-calibration-toolkit

Operational calibration schemas, falsifier templates and null-model examples for observer-aware workflows.

Status: PUBLICATION_CANDIDATE. This repo is ready for public push only after secret scan, path scrub, claims scan and ActionGate evidence pass.

What This Includes

  • Defines operational R, Phi_eff and J_c labels.
  • Provides falsifier and null-model templates.
  • Supports reproducible synthetic examples.

What This Excludes

See PRIVATE_EXCLUSIONS.md.

License

MIT License.

Next Steps

  • Add JSON schema for technical cards.
  • Add tests for example reports.
  • Keep mathematical claims operational and scoped.

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Calibration and falsification toolkit for AI claims: null models, evidence grades, claim boundaries and observer-aware workflow examples.

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