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/internal/recorrelation_sweep.py

@@ -108,6 +108,7 @@ async def _recorrelate_orphan(call: dict) -> bool:
         cleared_units  = call.get("cleared_units") or [],
         embedding      = call.get("embedding"),
         severity       = call.get("severity"),
+        transcript     = call.get("transcript_corrected") or call.get("transcript"),
         reference_time = started_at,   # anchor window to when the call happened
         create_if_new  = False,        # never create — link-only
     )