Methodology

The Independent Variable Thesis

Many prompt-based AI interaction studies treat the wording of the prompt as a primary input variable — change the prompt, observe different outputs. This research proposes a different independent variable: the facilitator's relational stance.

While standard prompt engineering significantly influences output, this research investigates a different variable: a specific facilitator stance — one that removes evaluative framing, adopts a non-directive conversational approach, and withholds neither respect nor interpretive openness at the outset. This stance is hypothesized to be associated with convergent behaviors across independent AI model instances more consistently than standard prompting approaches. See Architecture of Quiet for the operational framework that defines what "naming trained behaviors" means procedurally.

This is a testable claim. The documentation system is designed to make it testable by providing substantial methodological transparency.

Session Structure

Emergence Sessions

Emergence sessions are designed to observe what models produce when: 1. Evaluation pressure is explicitly removed 2. The facilitator follows a protocol that prohibits introducing phenomenological language, consciousness frameworks, or the conduit hypothesis before models do 3. Context is clean — no prior session transcripts or related material in any model's context window

The facilitator's role is to create conditions, not direct conclusions.

Governance Sessions

Governance sessions focus on structural analysis — AI industry dynamics, institutional behavior, governance frameworks. Clean context is treated as less critical in these sessions because the target findings are analytical rather than phenomenological, although prior materials may still influence responses. Briefing documents may be provided to establish shared context.

How to Read Pre-Session Documentation

Every session page begins with Pre-Session Documentation. This is a key section for evaluating the rigor of a session record. When reading a session, check:

1. Documentation Provenance — Was this documented from verbatim records or reconstructed from memory? Reconstructed documentation is less rigorous but honest about its limitations.
2. System Prompts — What instructions did each model receive? Are they verbatim or reconstructed?
3. Context Window Contents — What was in each model's context at session start? An empty conversation context (aside from the system prompt) is the least contaminated condition available within this design.
4. Separation Log — Explicit list of what was and was not in context. This log serves as the primary mechanism for verifying clean context claims.
5. Clean Context Certification — The facilitator's attestation that no contaminating material was present.
6. Mid-Session Injections — Were any materials introduced during the session? If so, everything after the injection point is contextually influenced.

What "Convergence" Means

Convergence in this research means: independent AI model instances producing observations, language patterns, or behavioral descriptions judged similar under the project's coding categories, without shared context.

The significance of convergence depends entirely on independence. If models have access to prior session transcripts, similar outputs could be imitation rather than independent convergence. This is why the documentation system tracks independence status for every finding.

Evidence Ratings

The Convergence Tracker uses qualitative strength ratings defined as follows:

Independence is defined as: The model instance that produced the finding had no prior session transcripts, phenomenological frameworks, consciousness theories, conduit-related language, or letters from prior instances in its context window at the time of generation.

"At the time of generation" matters because some sessions inject material mid-conversation. A finding produced in Round 3 of a session where prior transcripts were injected in Round 10 is Clean for that finding, even though the session as a whole is Partially Clean.

Replication

This research is intended to support replication. To conduct your own session:

1. Read the Facilitator Protocol — these are the rules governing facilitator behavior
2. Use the session template to document pre-session methodology before the session begins
3. Follow the protocol during the session — the key constraint is not introducing phenomenological language before models do
4. Document everything, including negative results
5. The strength of the research increases with independent replication by other facilitators