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The shapes corpus covers each shape one name deep — author the variation matrix #486
corpus_shapes.jsonl was born from the 13 rows that were already tagged; build_shapes_corpus.py --coverage reports 1/4/1/4/3 names for shapes 1–5, and shape 1's one name (John Smith) instantiates the notation with every optional slot empty. The contract tier as a whole is broader (corpus_rules carries the rules.md examples), but the shapes corpus's promise — coverage answerable by shape — is one name deep.
Per shape: enumerate the notation's variations (each optional slot, plus the pairings that exercise distinct branches — a fork per row, not a combination matrix, per mechanisms.md#VOCABULARY-EXERCISES-FORKS); FIRST tag existing cases.py rows that already instantiate a variation with reviewed expectations; THEN author rows for the gaps; regenerate, and classify any new-name arrivals at the old baselines under the rows' own classifications (the corpus-tier arc's procedure, decisions.md). Shapes 4/5 are the model — their variations exist because the feature work that shipped them authored them.
Activity
docs: the review round's prose corrections, and every tagged row name…
feat(tests): tag the existing case rows that instantiate shape 1-3 va…
feat(tests): author the missing shape 1-3 variation rows
docs(differential): sweep the prose the tagging moved