- models.py: add classify_sample_family() SSOT (token-aware, DM-suffix gated,
  strong-contains fallback) + extend SAMPLE_FAMILIES cues → unclassified 89→34
  uses (~93% classified); honest unknowns (armora, 90s_matrix) stay None.
- models.py: STYLE_ALIASES + norm_style() merges nu-jazz/nujazz, breaks/breakbeat,
  chip/chiptune, hip-hop/hip so the style chart is honest.
- tide_eda + tests use the canonical classifier (DRY); +3 mechanical tests
  (token cases, no-overreach incl. the shil-'oh' FP, style norm). 53 pass.
- regen tokens (cues feed match[] arrays).