lv-mccarthy D3 on gx10: leak gate PASSED, and the val split is now bigger than Hemingway's

~/lv-mccarthy on pfi-gx10: corpus-clean, corpus-renamed (6 copies, 1,002 records), scripts.

  leak gate   0 of 75 renameable and 0 of 37 sub-threshold survive in any copy
              positive control 108/108 surfaces found in the unrenamed source
              negative control nonce absent from both trees

THREE McCARTHY-SPECIFIC DECISIONS, each forced by a measurement.

1. --scope corpus, NOT the default per-work map. The Border Trilogy shares characters
   across books -- 9 surfaces appear in more than one work, including Parham (The
   Crossing + Cities of the Plain), Grady and Cole (All the Pretty Horses + Cities of
   the Plain), Socorro and Héctor. A per-work map would give John Grady a different
   invented name in each novel, turning one character into two.

2. A NEW `mccarthy` rename preset rather than reusing `hemingway`. Both are
   Spanish-inflected, but Hemingway's romance pool carries it_IT and fr_FR for his
   Italian and French casts, and McCarthy writes neither language -- drawing from it
   would drop Italian and French surnames into a Texas-Mexico border novel. en_GB goes
   for the same reason. en_US + es_MX/es_ES at an even share.

3. --min-cap 5 to MATCH the entity map's floor. The first gate run FAILED with 45
   survivors, and the diagnosis is the Brontë lesson exactly: entities.py admits
   cap >= 5 while rename.py only renamed cap >= 8, so every entity between 5 and 7 sat
   in the map, was never renamed, and was counted as a leak. Hemingway never hit it
   because its map had sub_threshold_total 0.

⭐ --holdout-chapter NOW TAKES A LIST, and this is the change with the most downstream
effect. The val split is one chapter index per work, so its SIZE is set by how many
WORKS a corpus has, not how many words:

  Hemingway  10 works -> 9 val units -> 36,563 words/copy -> gate DECISIVE
  Brontë      4 works -> 4 val units -> 17,043 words/copy -> gate MARGINAL
  McCarthy    6 works -> 6 val units -> ~18,000 would have been Brontë's end of that

Holding out chapters 7 AND 17 gives 11 units and 40,653 words per copy -- larger than
Hemingway's, at a cost of 7% of the corpus -- on a corpus 40% smaller than his. No
amount of corpus size fixes a val split that scales with work count.

THE HUMAN GENDER PASS IS NOW AN AUDITABLE FILE, not a hand edit. The honorific/window
resolver scored 21 correct / 3 held / 1 WRONG against a 26-name control; the base-rate
proximity resolver built for Hemingway scored 18/6/1 and its own guard correctly
REFUSED to write. So the incumbent stands and four entries are fixed by hand in
gender_overrides_mccarthy.json, each carrying its evidence.

⚠ All four are female and all four look male-dominated in raw pronoun counts, because
this corpus runs 29,144 male pronouns to 5,036 female -- a base rate of 85.3% male.
Carla Jean Moss at 31m/21f would be 44m/8f at that base rate, so 21 female against an
expected 8 is decisive. Same arithmetic that recovered Pilar and Brett on Hemingway.
Alfonsa was in my control set and is correctly absent from the map at 4 occurrences,
below the min-count floor -- an error in the control, not the pipeline.

apply_gender_overrides.py refuses two ways: a name absent from the map is an error
rather than a silent no-op, and overruling a gender the detector already holds needs
an explicit "correcting": true so it cannot look like filling a held entity in a diff.

scripts/r49-corpus/rename.py

@@ -57,6 +57,21 @@ PRESETS = {
     "hemingway": {"a": ("us", ["en_US", "en_GB"]),
                   "b": ("rom", ["es_ES", "es_MX", "it_IT", "fr_FR"]),
                   "share": {}, "default_share": 0.45},
+    # McCarthy is NOT a narrower Hemingway, and reusing that preset would have been the
+    # easy wrong answer. Both are Spanish-inflected, but Hemingway's romance pool carries
+    # it_IT and fr_FR for his Italian and French casts -- and McCarthy writes neither
+    # language and has no such characters. Drawing from it would drop Italian and French
+    # surnames into a Texas-Mexico border novel, which is exactly the register error the
+    # per-corpus pool exists to prevent. en_GB goes for the same reason: Hemingway has
+    # English characters (Brett Ashley, "the Englishman"), McCarthy's Anglo cast is
+    # Texan and Tennessean throughout.
+    # Share is even. The six works split about half and half: The Crossing and much of
+    # All the Pretty Horses and Cities of the Plain are set in Mexico, while Blood
+    # Meridian's gang and No Country's cast are Anglo. The corpus alphabet agrees that
+    # accents belong -- 1,411 non-ASCII letters across 14 forms, all Spanish (á é í ñ ó ú ü).
+    "mccarthy": {"a": ("us", ["en_US"]),
+                 "b": ("mex", ["es_MX", "es_ES"]),
+                 "share": {}, "default_share": 0.50},
 }
 
 
@@ -105,7 +120,16 @@ def main() -> int:
     ap.add_argument("--out", required=True)
     ap.add_argument("--copies", type=int, default=6)
     ap.add_argument("--seed", type=int, default=4919)
-    ap.add_argument("--holdout-chapter", type=int, default=10)
+    # ⚠ THE VAL SPLIT IS ONE CHAPTER INDEX PER WORK, so its SIZE is set by how many WORKS a
+    # corpus has, not by how many words. That is why it takes a LIST now. Measured across the
+    # line: Hemingway has 10 works -> 9 val units -> 36,563 words per copy and a decisive
+    # gate; Brontë has 4 works -> 4 units -> 17,043 words and a gate that could not resolve
+    # its own effect. A 588k-word corpus of 6 works would land at Brontë's end of that on a
+    # single index, and no amount of corpus size fixes it.
+    ap.add_argument("--holdout-chapter", type=int, nargs="+", default=[10],
+                    help="chapter index/indices held out as val in EVERY work. Space them "
+                         "apart -- adjacent chapters are more correlated with each other "
+                         "than two drawn from different parts of a book.")
     ap.add_argument("--preset", default="bronte", choices=sorted(PRESETS),
                     help="which corpus's name-pool register to draw from")
     ap.add_argument("--scope", default="work", choices=("work", "corpus"),
@@ -123,6 +147,7 @@ def main() -> int:
     man = json.loads((corpus / "manifest.json").read_text())
     alphabet = set(json.loads((corpus / "corpus_alphabet.json").read_text())["letters"])
     ents_all = json.loads(Path(a.entities).read_text())
+    holdout = set(a.holdout_chapter)
     pool = build_pool(Path(a.dictionary), alphabet, a.preset)
     cfg = PRESETS[a.preset]
     label_a, label_b = cfg["a"][0], cfg["b"][0]
@@ -276,7 +301,7 @@ def main() -> int:
                     txt = pat.sub(lambda m: mapping[surf2key[m.group(1)]], r["text"])
                     if phrase_sub:
                         txt = phrase_sub(txt)
-                    split = "val" if r["chapter"] == a.holdout_chapter else "train"
+                    split = "val" if r["chapter"] in holdout else "train"
                     fh.write(json.dumps({"work": slug, "copy": c, "chapter": r["chapter"],
                                          "split": split, "text": txt}, ensure_ascii=False) + "\n")
                     emitted += 1