feat(family): the shape ledger judges against family ideas, across languages (milestone 463 step 5, #4991)

- classify_shapes takes idea_id: the shape is judged against the idea's
  reference in its language, or its first.
- A shape classified against a canon idea's reference moves the project's
  adoption row (instance -> adopted, variant -> variant). Withdrawing the
  shapes that gave an answer returns it to unassessed. This runs on
  classify_shapes, the sweep, confirm_proposals and the coverage refresh.
- assess and undo refuse an answer the shapes contradict. A conflict
  resolution re-judges the variant shapes on both sides.
- The proposer's family arm offers a canon idea's reference on a shared
  platform, in any language. It proposes only when the reference is the top
  hit over every readable snippet and scores at least 0.70. The pairs this
  was measured on are recorded beside _FAMILY_FLOOR. The proposer is now v6.
- The matrix cell shows the code that answers it.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

src/scribe/services/coverage.py

@@ -879,6 +879,16 @@ async def compute_coverage(
         logger.warning("platform detection failed for project %s", project_id, exc_info=True)
 
     await shape_ledger.mark_canonicals(project_id, recorded)
+    # The adoption ledger follows the shapes (milestone 463 step 5). The
+    # judge paths sync the ideas they touch; the refresh is the one place
+    # that sees canonical stamps land and shapes vanish, so it answers every
+    # canon idea reaching the project. It must not fail the refresh.
+    try:
+        from scribe.services import family_adoption
+
+        await family_adoption.sync_from_shapes(user_id, project_id)
+    except Exception:
+        logger.warning("family adoption sync failed for project %s", project_id, exc_info=True)
     try:
         await shape_ledger.apply_derive_groups(project_id)
     except Exception: