Turn confused notes into dictionary candidates

A field generates terminology demand in real time. If readers keep asking what a phrase means, that phrase belongs in a glossary queue.

Notes is the capture layer: readers write the confusion in their own language. Dictionary is the stabilization layer: the group turns that recurring confusion into a reviewed definition.

The important boundary is human approval. The model can suggest a term, summary, or definition draft, but the published Dictionary meaning should be reviewed before it becomes shared framing infrastructure.