The Blackwell-Hart Technical Bulletins
The Blackwell-Hart Technical Bulletins serve as the research and commentary archive for the Blackwell-Hart Methodology™ (BHM™). The archive documents applied observations, case studies, and structured analysis related to AI-assisted discovery systems, authority infrastructure, and entity interpretation.
Blackwell-Hart Methodology™ Technical Bulletin 26-31: Relevance Is Not Recommendation — When an Entity Fits the Question but Is Not Selected
An entity can be relevant to a question without being selected for recommendation. Blackwell-Hart Methodology™ (BHM™) distinguishes retrieval, recognition, interpretation, relevance, and recommendation as separate observable stages, providing a more precise basis for evaluating how AI-assisted discovery systems select entities under defined query conditions.