correlator: LLM tier reads the scene's transcript, not the whole call (server-26#102)

The last leg of the #80/#95 scene-context leak. llm_correlator._call_block
read call_doc's whole-call transcript for every scene, so on a multi-scene
call every scene's cheap-tier and tiebreaker decision was made against text
that also contained the other scenes.

- intelligence.py: each processed[] scene now carries its own "transcript" —
  transcript_corrected, else this scene's segments joined, else (single scene)
  the whole transcript.
- _build_context / preview_correlation / correlate_call: take a `transcript`
  param; _build_context resolves ctx["scene_transcript"] from it, falling
  back to the call doc (sweep, single-scene, tests) — the fallback is kept
  here, unlike embedding/severity, because a scene always has real text.
- upload.py: both scene loops pass scene["transcript"].
- llm_correlator._call_block: reads ctx["scene_transcript"] (call-doc
  fallback retained for test-built ctx).
- recorrelation_sweep: passes the call doc's text explicitly.
- +1 regression test. Full c2-core suite green (296 passed, sandboxed venv).

NOT for merge until the running correlation measurement window closes and its
dump is analysed — deploying a correlator change mid-window would mix old and
new behaviour in the sample.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

drb-c2-core/app/routers/upload.py

@@ -116,6 +116,7 @@ async def _correlate_with_consensus(
     reassignment: bool = False,
     embedding: Optional[list] = None,
     severity: Optional[str] = None,
+    transcript: Optional[str] = None,
 ) -> Optional[str]:
     """
     Consensus correlator: runs the rules engine and the cheap LLM in sequence.
@@ -133,7 +134,7 @@ async def _correlate_with_consensus(
         tags=tags, incident_type=incident_type, location=location,
         location_coords=location_coords, units=units, vehicles=vehicles,
         cleared_units=cleared_units, reassignment=reassignment,
-        embedding=embedding, severity=severity,
+        embedding=embedding, severity=severity, transcript=transcript,
     )
     ctx             = preview["ctx"]
     rules_decision  = preview["decision"]
@@ -226,6 +227,7 @@ async def _run_extraction_pipeline(
                 reassignment=is_reassignment,
                 embedding=scene.get("embedding"),
                 severity=scene.get("severity"),
+                transcript=scene.get("transcript"),
             )
             if incident_id and incident_id not in incident_ids:
                 incident_ids.append(incident_id)
@@ -343,6 +345,7 @@ async def _run_intelligence_pipeline(
                 reassignment=is_reassignment,
                 embedding=scene.get("embedding"),
                 severity=scene.get("severity"),
+                transcript=scene.get("transcript"),
             )
             if incident_id and incident_id not in incident_ids:
                 incident_ids.append(incident_id)