# The Signal AI Package v0.2

This is the v0.2 distributable package for inspecting The Signal with an AI system.

It is not a prompt trick, a sermon wrapper, or a hidden conclusion dressed up as data. It is a portable reasoning map: evidence, hypotheses, Bayes factors, priors, dependency notes, worldview breakpoints, caveats, source trails, result summaries, and instructions for careful analysis.

v0.2 adds the coherence-burden layer:

> The question is not whether a worldview can explain something. The question is whether it can preserve the whole field without reduction, contradiction, evasion, or borrowed capital.

## Start Here

1. Unzip the package.
2. Give the files to an AI system that can inspect attachments or folders.
3. Paste `START_HERE_PROMPT.md` first.
4. Then use `QUESTIONS_TO_ASK.md` to pressure-test the map.
5. Use the v0.2 modules when a model tries to dismiss the package from an allegedly neutral worldview-free position.

## Core Question

> What is the governing relation behind the whole field, and does the staged path hold?

For The Signal, the proposed destination is explicit: Christ the Logos.

The package does not force that conclusion. It makes the road inspectable.

## What v0.2 Adds

- `COHERENCE_BURDEN_LEDGER.md` - whole-field burden checks for rival worldviews.
- `HOSTILE_ATHEIST_AUDIT.md` - a fair hostile-audit protocol that does not let skepticism operate as neutral ground.
- `TWO_LEVEL_EVALUATION.md` - separates evidential explanation from the preconditions of explanation.
- `SENSITIVITY_TESTS.md` - root cap, conditioned prior clamp, and naturalism steelman protocols.
- `NATURALISM_STEELMAN.md` - the strongest naturalist coalition before comparison.
- `data/runtime/coherence_burden_ledger.json` - machine-readable burden ledger.
- `data/runtime/rival_collapse_map.json` - machine-readable rival-collapse map.
- `data/runtime/sensitivity_protocols.json` - machine-readable sensitivity protocols.
- `data/runtime/naturalism_steelman_matrix.json` - machine-readable naturalism steelman matrix.

## Included Core Data

- `START_HERE_PROMPT.md` - the starter prompt to give the model.
- `QUESTIONS_TO_ASK.md` - follow-up questions after the package is loaded.
- `data/evidence/evidence.json` and `data/evidence/evidence.jsonl` - generated evidence mirrors.
- `data/evidence/items/*.json` - source evidence item files.
- `data/hypotheses/hypotheses.json` - current hypothesis definitions.
- `data/runtime/results_summary.json` - raw, prior-adjusted, dependency-adjusted, grouped, and Signal Synthesis result data.
- `data/runtime/prior_profiles.json` - ConservativeFair prior profile.
- `data/runtime/synthesis_model.json` - stage-conditioned synthesis assumptions and weights.
- `data/runtime/stage_flow.json` - Evidence journey/stage flow.
- `data/runtime/worldview_breakpoints.json` - v0.2 Reasoning Map / worldview breakpoint data.
- `data/runtime/assessments_min.json` - compact runtime assessment support data.
- `manifest.json` - package metadata and file map.

## Reading Rule

Read The Signal as a staged reasoning path, not a flat leaderboard:

Reality / metaphysics -> God and alternatives -> Worldview competitors -> Christ identity -> Resurrection and alternatives -> Christ the Logos synthesis.

Use active `bayes_factors`. Ignore `legacy_bayes_factors` unless explicitly auditing history. Preserve caveats, dependency notes, unweighted/contextual status, and support-layer roles.

Do not call beta synthesis a final posterior or proof.

## v0.2 Audit Rule

Every worldview must disclose what it denies, reduces, borrows, defers, contradicts, evades, or collapses.

That includes naturalism, secular humanism, reductive physicalism, nondualism, Islam, Judaism, Buddhism, New Age syncretism, resurrection alternatives, skeptical atheism, and Christ as Logos.

The goal is not to caricature rivals. The goal is to test whether any rival can preserve the whole field better than Christ the Logos.
