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Commits
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 vh
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5ddb0472e4 |
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.
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vh
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5aa10bf138 |
lv-mccarthy D2: entity map + stoplist, both audits green — and audit_stoplist was scanning its own rationale
Entity map at ~/mccarthy-corpus/entities.json. 123 surfaces after a 107-surface stoplist.
entities.py 27/27 controls -- 19 positive (Glanton, Toadvine, Rawlins, Blevins,
Alejandra, Chigurh, Moss, Bell, Boyd, Holden, Tobin, Magdalena,
Eduardo, Parham, Socorro, Webster, Redbo, Niño, Franklin) and 8 negative
audit_stoplist PASS -- no stoplisted surface is ever addressed as a person
audit_entity_map PASS -- positive `boy` 0.89, negative band tops out at Riddle 0.17,
all 5 remaining flags on the read-and-cleared list
⚠⚠ A DEFECT IN audit_stoplist.py ITSELF, latent for every corpus before this one. It built
its surface set from every list value in the stoplist JSON -- including `_why`, which by
convention is a LIST OF PROSE LINES. Every sentence of the rationale went into the matcher,
and the empty separator line matched the honorific pattern 139 times, printing a flag with no
surface name at the top of the report, above the one real catch. It now skips `_`-prefixed
metadata keys and empty strings.
THE ONE REAL CATCH WAS A CONTRADICTION INSIDE MY OWN FILE. `Franklin` sat in the geography
list because it is the old name for El Paso, while the same file's context note recorded
'I'm here to see Mr Franklin' -- a lawyer in All the Pretty Horses. The honorific audit found
the contradiction between the two halves of the file. Franklin is now renameable.
A SECOND SELF-INFLICTED ONE: the fragments list was a speculative A-Z, which stoplisted `I`
and `A` -- ordinary English words -- and `Sir I dont think I can do that` duly tripped the
honorific audit. It is now the four letters actually MEASURED as entities (E, H, T, K).
Stoplist what the entity map produced, not the alphabet.
Everything ambiguous was read in context before placement, and the reasoning is in the file:
Socorro is the ranch COOK in Cities of the Plain, not the New Mexico town -- renameable
Webster, Jackson, Harlan, Lamar are Glanton's men and lawmen, not places -- renameable
Niño, Keno, Redbo are HORSES, the author's inventions -- renameable, the `Inglés` precedent
Mangas, Travis, Venada, Moderno are genuinely dual-use -- renamed, the safe direction
Santa, Varas, Griffin, Eagle, Avenue, Calle, Terrell are real geography -- stoplisted
Yaqui and Gilenos are real peoples; Ford and Hashknives are a brand and a real outfit
Ed (Ed Tom Bell) and JC are short but are names, read and kept renameable
Sensitivity floor, stated because it is part of the result: the top 170 of 199 surfaces were
classified. The bottom 29 were not individually read, so a rare real-world referent may be
renamed -- the safe direction, an accepted cost, not an oversight.
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vh
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0fa68cb465 |
lv-mccarthy D1 fix: three small-caps defects the entity map caught, and one I nearly added
D2's entity map returned `E`, `H`, `T` and `K` as renameable entities with 17-33 capitalised
occurrences each. A bare initial is never a name -- that is the `G` class from the Hemingway
build, where `G` was about to be renamed to a surname 248 times. Reading them in context
showed the McCarthy editions set section openings in small caps and the extractor mangled
them three different ways, none of which the D1 build repaired:
1. SPLIT INITIAL `T HE HOUSE was built` -> `The house was built` 32 cases
Hemingway's restore_smallcaps only fires on TWO or more split initials in a line, so it
is structurally blind to these single ones.
2. UNMARKED RUN `THEY STOOD in the doorway` -> `They stood in the ...` 88 cases
Concentrated in Cities of the Plain (49) and The Crossing (37).
3. LOST INITIAL `HE CANDLEFLAME` -> `THE CANDLEFLAME` 1 case
Rule 1 requires a FOLLOWING all-caps word, because `A TV was playing` and `A Mexican was
changing` are an article plus a capitalised word, not a drop cap. All four such probes
verified untouched. Rule 2's `[a-z]` lookahead is what makes it safe: lowercasing every
all-caps run at a block start would eat a genuine shout or a sign, and requiring the run to
be followed immediately by a lowercase word means it is a sentence continuing. All 23
distinct first words of the 88 were checked and are real words -- HE, WHEN, THE, THEY,
QUINQUAGESIMA -- except one, which was case 3.
⚠⚠ AND A SECOND LOST-INITIAL ENTRY WAS NEARLY SHIPPED THAT WOULD HAVE CORRUPTED THE TEXT.
`HEY RODE` -> `THEY RODE` looked right from a survey of the BUILT corpus. The raw master has
`THEY RODE` intact, twice: `HEY RODE` was matching as a SUBSTRING, and the unanchored replace
produced `TTHEY RODE`, which rule 2 then lowercased to `Tthey rode`. Two things caught it --
the count assertion (expected 1, replaced 2) and then reading the master. Rule 3 is now a
block-anchored regex rather than a string replace, so a substring cannot fire it.
⚠ My first corruption check also missed it, searching for `TTHEY` when the pipeline had
already lowercased it to `Tthey`. Check the shape the pipeline actually emits, not the shape
you imagined it would.
Totals move 584,756 -> 584,716 words, 167 units unchanged. Both guards still pass: quote
marks 0.0/10k, author's own name 26 -> 0. Entity map positive control is 14/14 on real
McCarthy characters (Glanton, Toadvine, Rawlins, Blevins, Alejandra, Chigurh, Moss, Bell,
Boyd, Holden, Tobin, Magdalena, Eduardo, Parham); `T` and `E` no longer appear as entities.
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vh
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f3bf3ca89c |
lv-mccarthy D1: 167 units, 584,756 words, and a style that looks exactly like damage
Six complete novels from the licensed Kvasir masters. Same record schema as the Brontë,
Yarros and Hemingway builders, so entities.py, rename.py, leak_gate.py and the trainers run
unchanged. Splits via the new shared split_units module.
all-the-pretty-horses 33u 99,242w paragraph-blocks [back -1,768w] [drop cap restored]
blood-meridian 23u 116,651w roman-numeral [back -354w]
cities-of-the-plain 30u 90,166w paragraph-blocks
no-country-for-old-men 13u 69,841w roman-numeral [back -463w]
the-crossing 49u 149,985w paragraph-blocks [back -30w]
the-road 19u 58,871w paragraph-blocks
THE THING THIS BUILDER PROTECTS IS A VOICE THAT READS AS A DEFECT. McCarthy uses no
quotation marks and drops the apostrophe from most contractions -- dont, aint, wont, didnt.
Measured over the built corpus: 0.0 quote marks per 10k words against Hemingway's 838, and
123 apostrophes against his 241. repair_typography.py normalises "toward what the text
does" and would put the quotes back, deleting the single most identifiable thing about the
author before training starts. This builder runs NO typography normalisation and then
ASSERTS the quote density, so a future well-meaning change fails the build instead of
quietly undoing it.
⚠ That same property will make the voice gate easy to pass for the wrong reason.
voice_distance.py is Burrows's Delta over character bigrams; an adapter that learns only
"emit no quotation marks" moves delta_cb a long way without having learned a sentence. A
punctuation-normalised secondary read needs pre-registering before this one is gated.
Exclusions, measured rather than assumed:
- two truncated catalogue rows dropped for their complete mobi siblings (Blood Meridian
epub 1,167w, The Crossing epub 222w -- both real prose, both `accepted`)
- nothing else. All 15 cross-work 8-gram containment pairs measured on the Hemingway
precedent; worst is 0.10%. Six independent works, no subsumption.
Back matter rides inside the last unit in four of six works and the marker differs every
time -- THE END, a dumped Table of Contents, a Reader's Guide, an About-the-Author, press
blurbs, a CIP page. It carried the author's own name 26 times across the raw masters. Both
guards report and gate: name 26 -> 0, quotes 0.0/10k.
⚠⚠ The back-matter strip runs BEFORE the split here, inverting the Hemingway order. Blood
Meridian and The Crossing end with a dumped table of contents made of bare roman numerals on
their own lines -- the exact shape of a chapter marker. Splitting first feeds the TOC to the
splitter as two dozen extra chapters; only the 150-word floor accidentally saves it today.
One lost drop cap is patched by name, not by heuristic: the All the Pretty Horses epub opens
`HE CANDLEFLAME` because the decorative T was an image the extractor dropped. A general
restore-the-missing-initial rule would have to guess the letter, so this is asserted against
the known string and fails loudly if the master ever changes.
The alphabet is re-derived, not inherited: 1,411 non-ASCII letters across 14 forms
(á é í ñ ó ú ü). The Border Trilogy is half set in Mexico, so the Yarros ASCII-only
conclusion does not transfer -- same finding as Hemingway, same reason.
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