📊 LOCAL PAPER ANALYSIS DASHBOARD
Paper: Paper 1 The Logos Principle.md
Analysis Date: 2025-11-16 20:04
Ring 2 — Canonical Grounding
- Uncertainty Principle ANALYSIS
- TH Cross Domain Principle of Least Action
- Participatory Anthropic Principle (PAP)
Ring 3 — Framework Connections
🎛️ CURRENT PARAMETERS
(Edit config.json and re-run to adjust)
Breakthrough Detection:
- Integration Order Min: 3
- Novelty Score Min: 0.7
- Domains Required: 3
Coherence Weights:
- Cross-Reference: 30%
- Concept Coverage: 40%
- Term Consistency: 30%
Network Analysis:
- Max Depth: 3 hops
- Proximity Window: 30 words
📈 COHERENCE METRICS
Overall Coherence: 63.3/100
| Metric | Score |
|---|---|
| Cross-Reference Density | 0.0/100 |
| Concept Coverage | 83.3/100 |
| Term Consistency | 100.0/100 |
🎯 DETECTED BREAKTHROUGHS
Found: 0 breakthroughs
🔗 TAG NETWORK
Total Tag Connections: 11
- quantum → theology, relativity, sin
- consciousness → information, observer, sin, physics, theology, entropy, relativity, quantum
- information → soul, observer, sin, physics, theology, relativity, quantum
- sin → theology, soul
- physics → theology, sin, relativity, quantum
- observer → sin, physics, theology, relativity, quantum
- coherence → collapse, information, grace, consciousness, observer, sin, physics, theology, entropy, relativity, quantum
- collapse → information, consciousness, observer, sin, physics, theology, relativity, quantum
- soul → theology
- entropy → information, observer, sin, physics, grace, quantum
💡 TOP CONCEPTS
| Concept | Count | |||||
|---|---|---|---|---|---|---|
| information | 102 | |||||
| quantum | 86 | |||||
| [[Theophysics_Glossary#logos | Logos]]]] | |||||
| consciousness | 55 | |||||
| observer | 55 | |||||
| coherence | 54 | |||||
| collapse | 45 | |||||
| spacetime | 36 | |||||
| sin | 17 | |||||
| decoherence | 9 | |||||
| entanglement | 8 | |||||
| entropy | 6 | |||||
| grace | 4 | |||||
| resurrection | 2 | |||||
| soul | 1 |
🌐 CONCEPT NETWORK STATS
- Nodes: 15
- Edges: 105
- Density: 1.000 OK So if we wanted to do like a network graph or like an Obsidian graph or knowledge graph or whatever you know we only had to pick one on this tags what would it be what type of graph would it be and why would we pick that and then what would that really type what would that show and give us an understanding of that we didn’t have an understanding of and yeah What do you mean build this graph inside of a sitting O plug in plug in I was gonna use high charts
- Avg Clustering: 1.000
⚙️ HOW TO ADJUST PARAMETERS
- Edit
config.json - Change any parameter values
- Run:
python analyze_paper.py - Watch this dashboard update!
Try These Experiments:
- Lower integration_order_min to 2 → Find more breakthroughs
- Increase word_proximity_window to 50 → Find more tag connections
- Adjust coherence weights → See score change
Canonical Hub: CANONICAL_INDEX