fix(cwb): keep preset scale neutral

Runtime conditioning scale reduction must not be carried into persisted model or LoRA weights. Keep named merger presets at 1.0 and reserve scaling for explicit custom configuration.

docs/consensus_mergers.md

@@ -23,7 +23,9 @@ alignment reference.
 `baseline` is the default. The standard clarity, smooth, varied, and diversity
 presets are joined by `power_blend` and the DSC presets demonstrated by the CWB
 conditioning implementation. Select `custom` to make every manual CWB control
-authoritative.
+authoritative. Every named merger preset keeps `global_scale` at `1.0`; scaling
+persisted model or LoRA weights is only performed when explicitly selected in
+the custom controls.
 
 Similarity alignment greedily matches source rows to the reference by cosine
 similarity. Index alignment keeps absolute row positions. Position weight can

nodes/consensus_merger.py

@@ -72,17 +72,17 @@ CWB_PRESETS = {
     "varied_merge": {
         "consensus_type": "median", "power_alpha": 2.0,
         "similarity_threshold": 0.0, "diversity_beta": 0.0,
-        "rescale_norm": True, "global_scale": 0.7,
+        "rescale_norm": True, "global_scale": 1.0,
     },
     "diverse_concept": {
         "consensus_type": "median", "power_alpha": 2.0,
         "similarity_threshold": 0.0, "diversity_beta": 1.0,
-        "rescale_norm": True, "global_scale": 0.7,
+        "rescale_norm": True, "global_scale": 1.0,
     },
     "high_diversity_concept": {
         "consensus_type": "median", "power_alpha": 2.0,
         "similarity_threshold": 0.0, "diversity_beta": 2.0,
-        "rescale_norm": True, "global_scale": 0.7,
+        "rescale_norm": True, "global_scale": 1.0,
     },
     "dsc_baseline": {
         "consensus_type": "median", "power_alpha": 2.0,
@@ -105,19 +105,19 @@ CWB_PRESETS = {
     "dsc_varied_merge": {
         "consensus_type": "median", "power_alpha": 2.5,
         "similarity_threshold": 0.0, "diversity_beta": 0.0,
-        "rescale_norm": True, "global_scale": 0.7,
+        "rescale_norm": True, "global_scale": 1.0,
         "dynamic_similarity_contrast": True, "soft_comfort_bandpass": True,
     },
     "dsc_diverse_concept": {
         "consensus_type": "median", "power_alpha": 2.0,
         "similarity_threshold": 0.0, "diversity_beta": 1.5,
-        "rescale_norm": True, "global_scale": 0.7,
+        "rescale_norm": True, "global_scale": 1.0,
         "dynamic_similarity_contrast": True, "soft_comfort_bandpass": True,
     },
     "dsc_high_diversity_concept": {
         "consensus_type": "median", "power_alpha": 2.0,
         "similarity_threshold": 0.0, "diversity_beta": 3.0,
-        "rescale_norm": True, "global_scale": 0.7,
+        "rescale_norm": True, "global_scale": 1.0,
         "dynamic_similarity_contrast": True, "soft_comfort_bandpass": True,
     },
 }

tests/test_consensus_merger.py

@@ -69,6 +69,11 @@ def _params(output_filename, **overrides):
 
 
 def test_preset_resolution_matches_extended_contract(cwb):
+    assert all(
+        preset["global_scale"] == pytest.approx(1.0)
+        for preset in cwb.CWB_PRESETS.values()
+    )
+
     power = cwb.resolve_cwb_settings(cwb_preset="power_blend")
     assert power.consensus_type == "median"
     assert power.alignment_threshold == pytest.approx(0.9)