Geo Stage 1-2: subject-geography model + classifier + pipeline wiring

"Closer to Home" foundation (audit greenlit by Codex). Durable geography, kept
decoupled from volatile scoring.

- Schema: article_geo (breadth/confidence/rationale/geo_version) + article_places
  (0..N ISO-coded places), separate from article_scores so re-runs/audits never
  disturb scoring or acceptance. "local" is never stored — it's relative to the
  reader; the UI computes "Near you" later.
- geo.py: LLM proposes place NAMES, code disposes to ISO codes (country alpha-2,
  US state 2-letter); region words like "Europe" can never become a country.
  'global'/placeless is first-class, not failure. Confidence calibrated so 'high'
  needs an explicit location. Geo is its OWN LLM pass, not merged into the scoring
  prompt (durable metadata, re-runnable, keeps the sensitive prompt untouched).
- store_geo replaces places (geo is re-derivable, unlike scores). tag_articles is
  idempotent by geo_version, only touches accepted non-duplicate articles.
- CLI `geo` command (cycle-locked, --limit/--reclassify) for backfill, plus a
  bounded geo step in the cycle (--geo-limit 60, --no-geo). scripts/geo_audit.py
  is the prototype audit tool.

360 tests green; live smoke tagged real articles correctly (Gaza->PS, London->GB,
placeless science->global). No UI / SEO pages yet — ranking/personalization only.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

.gitignore

@@ -6,5 +6,6 @@ node_modules/
 data/*.sqlite3
 data/*.sqlite3-*
 data/*.db
+data/geo_audit*.json
 
 logs/