Assessment framework — Mag.AI-S

Castalia Institute

Mag.AI-S assessment rewards inspectable work: artifacts with lineage, documented assumptions, and defense-ready explanations—not slide completion.

Dimensions¶

1. Correctness & limits — Claims match evidence; limitations are explicit.

2. Reproducibility — Another researcher could rerun or audit the core result from your logs and executable articles (Jupyter notebooks in the course book, run in iNQspace).

3. Integration — Subsystems connect into one coherent workflow where the course requires it.

4. Ethics & integrity — Responsible conduct, authorship, and misuse boundaries are respected.

5. AI literacy — Where AI is used: evaluation, grounding, oversight, and scoped tools per program policy.

See EXECUTABLE_ARTICLES.md for how Jupyter Book and iNQspace fit together.

Modalities¶

• Artifacts submitted through iNQspace with traceable history

• Reflection via SAMWISE prompts where the course specifies

• Faculty defense and structured challenge (AI Faculty where used)

Exact weights are published per cohort.

Legal¶

The Castalia Institute Magisterium confers proprietary credentials based on demonstrated work and evaluation. These credentials are not accredited academic degrees and do not confer professional licensure.