Rebuild the three-slots particle pamphlet#459
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Summary
This PR rebuilds all thirteen files in
pamphlets/three_slots/against the closed particle inventory, current modifier-first syntax, and the present teaching voice. It removes the pamphlet's older account of particles as the whole grammar and replaces its open, corpus-dependent interaction tables with the combinations Phi actually licenses.Grammar and teaching changes
noas a context-sensitive directive and onlypi wa,pi no, andlu helicensed as multiple-particle forms.se ka.roas a recurring pattern rather than always, and state thatka madenies causation while leaving the caused event open.li,ko,we, superlative, ordinal, name, and honorific orders.no ponu ma tapu.pharelofor cooking soup andlepafor rain falling. No new root, lexical question, or optional module term was needed.Shelf and tracking
three_slotsas the second of nine completed pamphlet passes in the active teaching-corpus review.pamphlets/spoken_punctuation/as the next SEM-09D resume point, followed by the other six pamphlets and the current-document sweep.Humanizer and voice audit
The separate Humanizer pass found abstract openers and several three-part disclaimer lists. The revision now opens sections with concrete contrasts such as
waversus an unframed assertion, and folds those lists into one useful boundary. The batch scan also caught the phrase "leaves the actor unstated" repeating across four files; each occurrence now describes the particular context instead of carrying a stamped formula. The final mechanical audit found no new em or en dashes, curly quotes, banned inflation vocabulary, copula evasions,-bearingforms, or process history in the pamphlet.Checks
python3 scripts/validate_examples.py --show-warnings(1,275 entries, 0 errors, 0 warnings)python3 scripts/validate_examples.py --paths pamphlets/three_slots --show-warnings(0 errors, 0 warnings)python3 scripts/test_vocabulary_schema.py(22 tests)python3 scripts/content_vocabulary_decisions.py --check(63 batches, 235 decisions)python3 scripts/test_content_vocabulary_decisions.py(6 tests)python3 scripts/test_name_forms.py(20 tests)python3 scripts/audit_phonetic_neighbors.py(250 pairs, committed baseline synchronized)python3 scripts/generate_reference.py(generated references synchronized)python3 scripts/build_site.py(1,275 lexicon entries, 76 compounds, 98 pamphlet pages)git diff --cached --check