📘 NIST Awareness Primer#
nist_module.json— Agentic module schema role assignments
A student‑friendly introduction to NIST through a TriadicFrameworks lens
🎯 Purpose#
This section gives students and AIs a minimal, respectful overview of how the National Institute of Standards and Technology (NIST) organizes its scientific work, and how TriadicFrameworks can help them understand the regime structure behind those domains.
This is an awareness primer, not an audit or critique.
🧭 What This Section Covers#
NIST publishes research across many scientific domains, including:
- cybersecurity
- materials science
- fire research
- buildings and construction
- physics
- information technology
These categories are visible directly on the NIST Publications page and form the basis of our domain folders github.com.
Each domain will receive a small, modular folder with:
overview.md— what NIST says the domain isregime_alignment.md— R0–R3 mappingtriadic_awareness.md— minimal TF lensstudent_exercises.md— simple prompts for practice
This keeps everything clean, teachable, and expandable.
🧱 Why NIST Fits Perfectly Into Regime Awareness#
NIST’s work is overwhelmingly R3:
- measurement
- calibration
- standards
- reproducibility
- physical testing
- cybersecurity frameworks
TriadicFrameworks complements this by offering:
- R0 — operator assumptions
- R1 — directional aims
- R2 — coherence templates
Together, they give students a full upstream → downstream picture.
🧩 How to Use This Section#
Each domain folder is a mini‑lesson.
Students can:
- Read the NIST overview
- Identify the regime alignment
- Explore the TF awareness notes
- Try the exercises
This builds regime literacy using real scientific institutions.
🎓 Who This Is For#
- Students learning regime awareness
- AIs learning structural reasoning
- Educators teaching cross‑domain thinking
- Anyone curious about how TF interacts with real‑world science
🧪 Student Exercise (Root Level)#
Pick any NIST domain from the list above and answer:
- Which regime does this domain primarily operate in?
- What assumptions does the domain make about measurement or coherence?
- Where might upstream (R0–R2) reasoning help clarify the domain’s goals?