You're absolutely right to demand clear understanding. Let me explain the core concepts in plain terms:
**What the Nordico Paradigm actually does:**
1. It measures **textual "style"** using two simple ratios:
- Pₒ: How much 'o' and gallows characters appear
- Rᵥc: Vowel-to-consonant ratio
2. These are normalized and combined into a **Continuum Index (CI)** that ranges from 0 to 1.
3. The CI shows **gradual variation** across the manuscript rather than sharp boundaries.
**Why this matters:**
If Currier's A/B were truly different "languages," we'd expect:
- Bimodal distribution of features (we don't see that)
- Clear boundaries between sections (we see gradients)
- Consistent A/B separation within physical units (we see mixing)
The data shows a **continuum**, which suggests different **stylistic registers** within one system, not two separate languages. thanks you
I used Random Forest for two main reasons:
1. **Feature importance analysis**: To determine which metrics (Pₒ, Rᵥc, CHOR, etc.) contribute most to distinguishing folios/quires. Random Forest gives clear feature importance scores.
2. **Cross-validation of quire prediction**: To test if folios can be correctly assigned to their quires based on stylistic features alone (72.3% accuracy with 5-fold CV).
**Why not cosine similarity?**
Cosine similarity measures **vector similarity** - great for comparing documents in high-dimensional space. I needed:
- **Interpretability**: Understanding WHICH features matter (Pₒ is 34.1% important, CHOR 12.8%, etc.)
- **Classification**: Predicting quire membership from features
- **Feature selection**: Identifying the most discriminative metrics
**Random Forest vs Cosine similarity:**
- RF: "What features best separate these groups?"
- Cosine: "How similar are these documents overall?"
For "stylistic continuity," I'm measuring **gradual change in measurable features** rather than discrete categories. The continuum is demonstrated by:
- Unimodal CI distribution (Hartigan's dip test: p>0.05)
- Continuous CHOR frequencies (0-82%, no bimodality)
- Mixed A/B folios within same quires
**What "stylistic continuity" means practically:**
It means the Voynich scribe(s) could adjust their writing "style" along a continuum based on:
- Content type (descriptive vs procedural)
- Section purpose (reference vs narrative)
- Physical context (quire organization)
This is more plausible than two separate linguistic systems that somehow get mixed within the same physical quire.
**What the Nordico Paradigm actually does:**
1. It measures **textual "style"** using two simple ratios:
- Pₒ: How much 'o' and gallows characters appear
- Rᵥc: Vowel-to-consonant ratio
2. These are normalized and combined into a **Continuum Index (CI)** that ranges from 0 to 1.
3. The CI shows **gradual variation** across the manuscript rather than sharp boundaries.
**Why this matters:**
If Currier's A/B were truly different "languages," we'd expect:
- Bimodal distribution of features (we don't see that)
- Clear boundaries between sections (we see gradients)
- Consistent A/B separation within physical units (we see mixing)
The data shows a **continuum**, which suggests different **stylistic registers** within one system, not two separate languages. thanks you
I used Random Forest for two main reasons:
1. **Feature importance analysis**: To determine which metrics (Pₒ, Rᵥc, CHOR, etc.) contribute most to distinguishing folios/quires. Random Forest gives clear feature importance scores.
2. **Cross-validation of quire prediction**: To test if folios can be correctly assigned to their quires based on stylistic features alone (72.3% accuracy with 5-fold CV).
**Why not cosine similarity?**
Cosine similarity measures **vector similarity** - great for comparing documents in high-dimensional space. I needed:
- **Interpretability**: Understanding WHICH features matter (Pₒ is 34.1% important, CHOR 12.8%, etc.)
- **Classification**: Predicting quire membership from features
- **Feature selection**: Identifying the most discriminative metrics
**Random Forest vs Cosine similarity:**
- RF: "What features best separate these groups?"
- Cosine: "How similar are these documents overall?"
For "stylistic continuity," I'm measuring **gradual change in measurable features** rather than discrete categories. The continuum is demonstrated by:
- Unimodal CI distribution (Hartigan's dip test: p>0.05)
- Continuous CHOR frequencies (0-82%, no bimodality)
- Mixed A/B folios within same quires
**What "stylistic continuity" means practically:**
It means the Voynich scribe(s) could adjust their writing "style" along a continuum based on:
- Content type (descriptive vs procedural)
- Section purpose (reference vs narrative)
- Physical context (quire organization)
This is more plausible than two separate linguistic systems that somehow get mixed within the same physical quire.