domain-anchoring

Research domain anchoring binds the correct domain identity before any work starts, preventing irrelevant baselines and reviewer rejection. It determines the primary domain and subdomain from user input to guide all downstream evaluation and reproducibility.

Classifying research type involves categorizing the study as M, D, C, or H and requiring explicit user confirmation. Anchoring this classification early establishes the expert persona and reviewer focus, ensuring reproducible evaluation throughout the project.

Generating a research anchor file involves collecting domain, subdomain, expert persona, and preliminary feasibility data into a structured YAML format. You then present this anchor file for explicit user confirmation before proceeding to Phase 1.

Incorrect domain identification causes reviewer rejection by producing misaligned baselines and missed evaluation criteria. Anchoring the correct domain identity before research begins ensures the expert persona and reviewer focus match expected evaluation standards.

Before starting Phase 1, collect preliminary feasibility questions regarding compute resources, data availability, and project deadlines. Capturing these constraints during domain anchoring ensures the research remains grounded and reproducible.