ECR-000001 Multi-Layer Procedural Representation

Purpose

Convert ECR-000001 into an instrument calibration run.

The objective is to determine whether the measurement instrument itself is reliable before using it for broader hypothesis testing.

This is a calibration experiment.

It collects observation-rich outputs that can later be used to update multiple hypotheses.

Models do not update hypotheses directly.

Primary Research Questions

• RQ-CAL-001: Can the instrument reliably collect multiple procedural representations?
• RQ-CAL-002: Do GPT, Claude, and Gemini interpret the schema consistently?
• RQ-CAL-003: Does the schema distinguish procedural and non-procedural artifacts?
• RQ-CAL-004: Is the schema collecting unnecessary information?

Primary Hypotheses

Only these hypotheses are in primary scope:

• H003 Multi-model convergence
• H012 Vocabulary bias
• H013 Recognition bias
• H015 Measurement instrument reliability

All remaining hypotheses are exploratory only.

Contents

• calibration-plan.md
• instrument-pass-fail.md
• packet-selection-rationale.md
• model-execution-plan.md
• expected-observations.md
• known-threats.md
• pre-registration.md
• run-instructions.md
• packet-template.md
• response-schema.json
• analysis-plan.md
• hypothesis-impact-matrix.md
• interpretation-rules.md
• packets/
• responses/
• comparison/
• reports/