book-pipeline had its own copy of bibclean's author recovery. Bound on all
four surfaces so it can stop.
Checked against that Python over all 5,385 books in the library: 5,375
identical. On the other ten the Python had taken a translator, an illustrator
or the publisher off a copyright line — Sally-Ann Spencer for *The Dwarves*,
Thomas Nelson for a table of contents, C. S. Lewis for a book about Tolkien —
and bibclean either finds the real author in the Library of Congress block or
says nothing. Every one of the ten was read by hand.
Cuts a reference list into entries — at the note numbers where there are any,
at the layout where there are not — and reads each as far as its punctuation
allows. Fields that would not parse are named in `unsettled` rather than
guessed at, and `--prompt` asks a model about exactly those and no others.
Over 202 real reference sections from the corpus: 8,566 references, 95% with
a title, 82% with a year, 46% settling every field with no model involved.
A title is refused where the entry was never divided, so no record reports
its own text back as the work it cites.
`ibid.` is flagged and left alone — it points at a work, and the entry does
not say which. A rule of dashes is filled in, because the style defines it as
the author above.
chunkmd gains `note_starts` and `cites_something`: recognising a page of
notes and splitting one are the same knowledge, and two copies of that
pattern would drift.
funkpower