anti
b182e2fe3b
Adds 12 new primitives across two waves of spec work this session.
meta.* layer (8 primitives) — corpus-snapshot footprint:
total_messages, corpus_span_days, msg_per_day, active_days,
activity_density, first_seen_ts, last_seen_ts, fingerprint_confidence.
Motivated by two actors with identical message counts (53 each) producing
indistinguishable profiles despite radically different presence shapes
(0.3-day burst vs 47-day long tail).
Language-aware characterization primitives (4 primitives):
stylometric.pos_ngram_signature — SimHash over POS bigram frequency vector;
syntactic skeleton fingerprint that survives full vocabulary paraphrase.
lexical.dialect_region — BCP-47 free_string (es-CL, es-AR, es-MX, …);
designed for EYENET integration with INGEOTEC regional-spanish-models.
lexical.evaluative_morphology_density — diminutive/augmentative/pejorative
suffix density; stable per-author trait baked into language acquisition.
lexical.optional_grammar_signature — SimHash over optional-grammar choice
points (compound/simple past, subjunctive, leísmo, relative pronoun);
high-reliability Spain vs LatAm discriminator.
Also fixes stale scratchpad.md references throughout (README.md is now the
authority), bumps behave-text to 0.1.3, and updates CHANGELOG.
68 lines
2.7 KiB
Markdown
68 lines
2.7 KiB
Markdown
# Changelog
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All notable changes to BEHAVE packages are documented here.
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Format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
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Versions follow [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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---
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## [behave-text 0.1.3] — 2026-05-23
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### behave-text
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#### Added
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- `stylometric.pos_ngram_signature` — 64-bit SimHash over POS n-gram (default bigram)
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frequency vector. Captures syntactic skeleton independent of vocabulary. Tagger-dependent;
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source label must declare tagger + model + n. Calibration note: noisy on chat-domain text,
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weight low until validated.
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- `lexical.dialect_region` — BCP-47 language-region free_string (`es-CL`, `es-AR`, `es-MX`,
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`es-ES`, `en-US`, etc.) for the actor's dominant regional variety, detected from lexical
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marker density. Emit `unknown` below confidence threshold. Designed for EYENET integration
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with INGEOTEC `regional-spanish-models` vocabulary tables (MIT).
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- `lexical.evaluative_morphology_density` — numeric [0,1] rate of evaluative morpheme tokens
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(diminutives, augmentatives, pejoratives, intensives) per total tokens. Stable per-author
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trait baked into language acquisition; strong Spain/LatAm regional discriminator.
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- `lexical.optional_grammar_signature` — 64-bit SimHash over author preference probabilities
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at optional-grammar choice points (for Spanish: compound vs simple past, subjunctive usage,
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leísmo/laísmo/loísmo, relative pronoun choice). Choice-point set is extractor-defined and
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declared in source label.
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---
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## [behave-text 0.1.2] — 2026-05-23
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### behave-text
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#### Added
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- `meta.*` layer — 8 new corpus-snapshot primitives: `total_messages`, `corpus_span_days`,
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`msg_per_day`, `active_days`, `activity_density`, `first_seen_ts`, `last_seen_ts`,
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`fingerprint_confidence`. Fills the gap between actors with identical message counts but
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radically different presence shapes (bursty single-session vs long-tail lurker).
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#### Fixed
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- Stale `scratchpad.md` references in `primitives.py` docstring, `tests/test_primitives.py`
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docstring, and `attribution-recipes.md` — `README.md` is now the authority.
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---
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## [0.1.0] — 2026-05-17
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Initial public release of all three packages.
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### behave-core
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- Shared observation envelope and schema contract (`BehaveObservation`)
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- Pydantic v2 base models for domain-agnostic behavioral records
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### behave-shell
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- Shell-session behavioral observation registry
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- Primitive catalog covering command execution, session lifecycle, environment, and navigation events
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- Layered on `behave-core`
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### behave-text
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- Text/messaging-domain behavioral observation registry
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- Primitive catalog covering message composition, conversation, and metadata events
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- Layered on `behave-core`
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