Evidenzia
Explore Scripture by Evidence
A computational lens for theological inquiry. We map the conceptual architecture of sacred texts using meaning fingerprints, allowing for objective structural discovery.
The Problem
Theological debates often rely on selective verse use. Each tradition emphasizes certain passages and downplays others. Claims like “the Bible clearly teaches X” or “there are more verses supporting Y” are rarely tested against the full text. Evidenzia exists to make those claims testable.
“The context implies a physical state of rest...”
“Historical usage suggests a metaphysical departure...”
How Evidenzia Works
Verse
Raw KJV Text
Tag
Keyword Match
Meaning
Semantic Match
Classify
Multi-Signal Vote
Challenge
Counter-Argument
Visualize
Relational Map
Meaning Fingerprints
Every verse is converted into a 768-value numerical representation of its meaning. Think of it as coordinates in a high-dimensional space where verses with similar meanings cluster together.
The system does not assign theology. It only measures similarity in meaning. Verses that discuss similar ideas are close together. Verses on unrelated topics are far apart.
See It in Action
Pick a verse and see its meaning fingerprint, then see which other verses have the closest fingerprints.
Each number represents one aspect of the verse’s meaning. Together, these 768 numbers form a unique “fingerprint” for this verse. Here are the first 16:
[-0.025, 0.016, -0.002, -0.044, 0.004, 0.041, 0.000, -0.024, -0.005, -0.006, -0.023, 0.010, -0.013, 0.003, 0.114, -0.006, ...]We compare this fingerprint against all 31,102 verses and find the closest matches. No theology involved, just measuring which verses have the most similar numbers.
“Thus the heavens and the earth were finished, and all the host of them.”
“These are the generations of the heavens and of the earth when they were created...”
“This is the book of the generations of Adam. In the day that God created man...”
“So God created man in his own image, in the image of God created he him...”
How Verses Are Identified
Each theme is built through four layers of analysis. No single layer decides — they vote together, and the final layer challenges every result.
03. Multi-Signal Classification
Multiple independent signals vote on whether a verse belongs to a theme: keyword presence, meaning similarity, linguistic structure (via spaCy NLP), and contextual domain words. A probability model (Snorkel) learns which signals are reliable and how they correlate, then produces a single confidence score.
Hard exclusion rules vote against inclusion — genealogies, ritual durations, and non-prophetic time references are automatically filtered. Only verses that pass the probability threshold proceed to the final layer.
04. Counter-Argument Evaluation
Each tagged verse is evaluated: how strongly does it connect to the theme? Then the system generates the strongest argument that it does not belong. This produces a relevance score and ensures every tag carries its own counter-evidence. A high relevance score means the verse is deeply connected to the conversation — not that it conclusively proves the position.
Weak or ambiguous connections are reduced in strength or removed.
Reading the Analytics
The percentage you see on each verse is a relevance score, not a truth claim. It measures how strongly a verse connects to a theme through language, meaning, and context. A verse at 100% relevance means the system is highly confident the verse belongs in the conversation about that theme — not that it definitively proves the position. Every tagged verse carries a counter-argument showing the strongest case against that interpretation. The data maps connections. The theology is yours.
Relevance % and Source Colors
Delta Analysis
Distribution across the Old and New Testament canon.
Neutrality Safeguards
Etymological Precision
Every term is tied to its Strong’s concordance identifier. The system looks at the underlying semantic structure of the original manuscripts, not just English translations. This helps clarify distinctions that translations often flatten.
The underworld, state of the dead, grave.
“Evidenzia does not interpret Scripture for you. It reveals the structure of the text so you can evaluate it yourself.”
Explore a Concept