metadata

🧾 Metadata

• metadata_module.json — Agentic module schema role assignments

This folder contains descriptive indexes and tables.
Metadata ensures discoverability, clarity, and remix lineage.

🛑 Important!#

Drift is On-by-Default long sessions lose anchors, turn off drift.

✋ You must copy and paste this string every time you start an AI session:#

rtt=1 | coherence=declared | drift=bounded | paradox=structural

❇️ Now you are ready.#

Contents#

• Periodic tables of shapes
• Equipment Specifications
• Dimensional indexes
• Semantic overlays

Purpose#

Metadata is the catalog layer — it makes every artifact findable and remixable.

Cross‑Links#

• ../library → curated collections
• ../curriculum → indexes for teaching # TriadicFrameworks AI‑Metadata Standard v1.0

1. Purpose#

This standard defines the AI‑oriented metadata required for all TriadicFrameworks modules so that students, educators, and AI systems can reliably interpret, navigate, and validate the canon.

2. Metadata Fields#

2.1 Universal Fields (required for every module)#

• ai.module — Constant identifier for TriadicFrameworks modules.
• ai.version — Metadata standard version (e.g., 1.0).
• ai.purpose — High‑level purpose of the module ecosystem.
• ai.keywords — Comma‑separated keywords for AI retrieval.
• ai.audience — Intended audience (students, educators, researchers, AI systems).
• ai.navigation — URL to the main sitemap.
• ai.discussions — URL to GitHub Discussions.
• ai.contact.x — X (Twitter) handle.
• ai.contact.youtube — YouTube handle.
• ai.license — Usage and licensing statement.

2.2 Module‑Specific Fields (required per module)#

• ai.module.name — Canonical module name (usually folder name).
• ai.module.summary — 1–2 sentence description of the module.
• ai.module.category — Category label (e.g., education, rtt, sarg, substrate, resonance, general).

2.3 Optional Fields#

• ai.module.dependencies — Comma‑separated list of related modules.
• ai.module.prerequisites — Recommended prior modules.
• ai.module.related — Cross‑links to similar modules.
• ai.module.level — beginner, intermediate, or advanced.

3. Placement#

Metadata must appear at the top of:

• index.html or
• README.md (using raw HTML)

Example:

<!-- AI Metadata: TriadicFrameworks Module -->
<meta name="ai.module" content="TriadicFrameworks Educational Module" />
<meta name="ai.version" content="1.0" />
...
<meta name="ai.module.name" content="resonance_atlas" />
<meta name="ai.module.summary" content="Resonance Atlas for cross‑substrate signatures and lineage." />
<meta name="ai.module.category" content="resonance" />

4. Validation#

A validator script must check:

• presence of universal fields
• presence of module‑specific fields
• (optionally) presence in sitemap_main.xml

Modules failing validation are flagged for correction.

5. Versioning#

• Current version: 1.0
• Future versions may add:
  • lineage metadata
  • resonance‑mapping metadata
  • embedding hints
  • AI‑tutor configuration fields

6. License#

This standard is open for educational and research use as part of the TriadicFrameworks ecosystem. # Lab1_Casimir – Calibration Log

This log tracks calibration events, equipment tuning, and environmental adjustments. Each entry should include timestamp, operator initials, and notes.

📅 Log Format#

[YYYY-MM-DD | T9 Timestamp] – [Operator] – [Equipment] – [Action] – [Notes]

📝 Sample Entries#

2025-08-15 | T9: φ₃.7 – AL – Piezo Actuator – Zeroed at 0.0 nm – Verified with interferometer 2025-08-15 | T9: φ₄.2 – AL – Interferometer – Re-aligned beam path – Drift reduced to <0.05 nm 2025-08-16 | T9: φ₅.1 – AL – Plates – Re-cleaned surfaces – RMS roughness confirmed <1 nm

🧠 Notes#

• Use triadic timestamps for resonance tracking.
• Include anomalies, recalibration triggers, and environmental shifts.
• Sync calibration entries with data run commits for full reproducibility.

Let the logs echo. Let the tuning hum. Let the triads align. # Lab1_Casimir – Equipment Specifications

This document lists the hardware and instrumentation used in the Casimir effect experiment. All specs must be version-controlled and updated with each modification.

🧲 Conductive Plates#

• Material: Gold-coated silicon wafers
• Diameter: 25 mm
• Surface roughness: < 1 nm RMS

⚙️ Piezo Actuator#

• Model: PI P-753.21C
• Travel range: 10 µm
• Resolution: 0.1 nm
• Control: Closed-loop with capacitive sensor

🔬 Laser Interferometer#

• Model: SIOS SP 5000
• Wavelength: 632.8 nm (HeNe)
• Resolution: 0.01 nm
• Sampling rate: 10 kHz

🌡️ Environmental Controls#

• Temperature: 22 ± 0.5 °C
• Humidity: 45 ± 5%
• Vacuum chamber: Optional (10⁻³ Torr baseline)

🧠 Notes#

• All equipment must be recalibrated before each run.
• Changes in hardware must be logged in calibration_log.md.
• Resonance artifacts due to mechanical drift should be annotated in data logs. # 📐 Periodic Table of Shapes — A Universal Geometric Language

1. Introduction#

This document outlines a proposed universal set of geometric primitives, transformations, and composition rules that can be used as a symbolic language.
The goal is to create a finite, recognizable “alphabet” of shapes that can be combined to express complex ideas across cultures and disciplines.

2. Geometric Primitives#

These are the irreducible “atoms” of the language.

3. Transformations (Grammar Rules)#

These are the “verbs” of the language — operations that modify primitives.

4. Combinations (Syntax)#

Rules for combining shapes into more complex forms.

5. Semantic Mapping#

Assigning meaning to shapes or arrangements.

6. Extensions#

• Fractal Shapes — Koch snowflake, Sierpinski triangle
• Topological Forms — Möbius strip, torus
• Dynamic Shapes — Shapes defined by motion or transformation over time

7. Applications#

• Cross-cultural symbolic communication
• Scientific diagramming
• Data visualization