vale-ai-tells: caveat that AJ's 16x drift signal is animacy-inflated - #1952
Closed
benbalter wants to merge 1 commit into
Closed
vale-ai-tells: caveat that AJ's 16x drift signal is animacy-inflated#1952benbalter wants to merge 1 commit into
benbalter wants to merge 1 commit into
Conversation
Re-analysis (same instrument, run on the Open & Async book with finer per-era
buckets) found the kept-ON top signal, AnthropomorphicJustification, conflates
human/collective subjects ("the people doing the work", "deserve credit") with
the real inanimate tell. On the book, splitting by subject cut it from 6.7x
whole-rule to ~2.4x inanimate-only. Adds a note to re-measure the 16x on the
inanimate subset before trusting it, plus per-era corroboration that
FigurativeFalls/Idioms are revived early-2010s habits (0.11/1k in 2010-13).
Docs-only: comments in the advisory config; no rule behavior changes.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Docs-only note in the advisory
.vale-ai-tells.ini— no rule behavior changes.A 2026-08 re-analysis (same
vale-ai-tellsinstrument, run on the Open and Async book with finer per-era baseline buckets: 2010-13 / 14-16 / 17-18 / 19-21) turned up two things worth recording against this config's calibration:AnthropomorphicJustification(16×), is inflated by subject animacy. The rule fires on human/collective subjects ("the people doing the work", "deserve credit", "the team earns") — not anthropomorphism at all — mixed in with the genuine inanimate tell ("the spec pays for itself"). On the book, splitting the matches by subject cut it from 6.7× whole-rule to ~2.4× on the inanimate-only subset. The note recommends re-measuring the 16× on the inanimate subset before trusting it as the headline signal.FigurativeFalls/FigurativeIdiomsconfirmed as revived early-2010s habits — the full decade shows ~0.11/1k in 2010-13 (higher than 2026), fading to 0 by 2017. Corroborates this config's existing NB, and suggests preferring the four per-era buckets over the 2019-22-vs-2026 split for future calibration.Nothing filed upstream to
tbhb/vale-ai-tells— the one package-level FP I hit (AnthropomorphicCognition"a platform and want") is already handled here via the existing disable.🤖 Generated with Claude Code