Drop named-position axis for grounded geometry (30B still mis-names positions)

Even the 30B mis-identifies named sex positions (doggy/cowgirl) from images, so
position_name is removed. The pose cluster is now purely observable geometry:
body_orientation enriched with facing direction (who faces whom), plus
limb_arrangement / contact_points / pose. The agent composes any named label from
these reliable primitives. 23 default axes. Docs/examples updated.

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

docs/METHODOLOGY.md

@@ -120,7 +120,7 @@ observes; it suggests no fixes (a stronger external model owns correction).
 {
   "axes": {
     "subject_count":  {"verdict": "match",    "ref": "1 woman", "gen": "1 woman"},
-    "position_name":  {"verdict": "mismatch", "ref": "doggy style", "gen": "cowgirl"},
+    "body_orientation":{"verdict": "mismatch", "ref": "female on top, facing partner", "gen": "female on bottom"},
     "clothing_state": {"verdict": "mismatch", "ref": "red lace lingerie", "gen": "nude"},
     "scene":          {"verdict": "partial",  "ref": "dim bedroom", "gen": "lit bedroom"},
     "lighting_color": {"verdict": "match",    "ref": "warm low-key", "gen": "warm low-key"}
@@ -132,9 +132,9 @@ A **discrete verdict** (match/partial/mismatch) is used instead of a 0–1 score
 give unreliable fine scores (identical ref/gen often scored ~0.6) but classify the three
 buckets reliably. `overall_score` + `mismatch_count` are computed from the verdicts on our
 side (mean ordinal), so they're trustworthy as a stop signal. The axis list is
-**configurable**; the default ~24 axes are grouped identity / body / wardrobe / action·pose
+**configurable**; the default ~23 axes are grouped identity / body / wardrobe / action·pose
 / affect / camera / render, with the action·pose cluster split fine (`sexual_act`,
-`position_name`, `body_orientation`, `limb_arrangement`, `penetration`, `contact_points`,
+`body_orientation`, `limb_arrangement`, `penetration`, `contact_points`,
 `genital_visibility`) so it stays discriminative for explicit content. Each axis carries a
 one-line definition in the prompt. The agent steers each `mismatch`/`partial` axis toward
 its `ref`. See [CALIBRATION_POLICY.md](CALIBRATION_POLICY.md).