Analysis quality audit scaffold (generated)

Status: machine scaffold from MODULE_REGISTRY_ORDER (0.9.5)
Do not hand-edit rows — regenerate with python3 scripts/release/regen_module_docs.py.
Human judgements (meaningfulness, recommendation, severity) live in empty columns below and in analysis_quality_audit.md.

Module id	Description	Category	Dependencies	Determinism	Recommendation	Severity	Notes
acts	Dialogue Act Classification	medium	None	T0
conversation_loops	Conversation Loop Detection	light	None	T0
contagion	Emotional Contagion Detection	heavy	emotion	T1
emotion	Emotion-associated vocabulary (NRC lexicon)	medium	None	T1
contextual_emotion	Contextual emotion (broad classifier, experimental)	heavy	None	T2
fine_grained_emotion	Fine-grained multi-label emotion (experimental)	heavy	None	T2
entity_sentiment	Entity-based Sentiment Analysis	heavy	ner, sentiment	T1
affect_tension	Emotion + Sentiment mismatch and tension indices	medium	emotion, sentiment	T1
interactions	Speaker Interaction Analysis	medium	None	T0
ner	Named Entity Recognition	medium	None	T1
names	People mentioned (PERSON entities catalog)	medium	ner	T1
semantic_similarity	Semantic similarity (batched embeddings, vectorized similarity)	heavy	None	T1
sentiment	Sentiment Analysis	medium	None	T1
epistemic_markers	Hedging / certainty / epistemic markers	light	None	T0
keyphrases	Keyphrase ranking (noun chunks / YAKE / KeyBERT)	medium	insight_eligibility	T1
stats	Statistical Analysis	light	None	T0
topic_modeling	Topic Modeling	heavy	insight_eligibility	T2
bertopic	BERTopic topic modeling (optional [bertopic]/[full] stack — see docs/dev/bertopic_optional_module.md)	heavy	insight_eligibility	T2
transcript_output	Generate human readable transcripts	light	None	T0
simplified_transcript	Simplified transcript (tics, agreements, repetitions removed)	light	None	T0
understandability	Understandability Analysis	medium	None	T0
lexical_diversity	Lexical diversity metrics (TTR, MTLD, hapax rate)	light	None	T0
wordclouds	Word Cloud Generation	light	insight_eligibility	T1
tics	Verbal Tics Analysis	light	None	T0
transcript_quality	ASR Confidence	light	None	T0
insight_eligibility	Shared content-vs-style insight eligibility pipeline	light	tics	T0
temporal_dynamics	Temporal Dynamics Analysis	medium	None	T1
qa_analysis	Question-Answer Pairing and Response Quality	medium	acts	T1
pauses	Silence and Timing Analysis	light	None	T0
echoes	Quote/Echo/Paraphrase Detection	medium	None	T1
politeness	Politeness / formality / directiveness markers	light	None	T0
momentum	Stall/Flow Index Analysis	medium	pauses	T0
topic_shift	Topic-shift chapter segmentation	medium	None	T0
moments	Ranked Moments Worth Revisiting	light	momentum	T0
highlights	Highlights and conflict moments (quote-forward)	light	insight_eligibility	T0
summary	Executive brief summary derived from highlights	light	highlights	T0
narrative_summary	Grounded executive narrative from deterministic summary (LLM)	medium	summary	T2
llm_summary	Abstractive transcript summary via local LLM	medium	None	T2
llm_speaker_summary	Abstractive per-speaker summaries via local LLM	medium	None	T2
llm_action_items	Extract structured action items via local LLM	medium	None	T2
llm_custom_qa	Answer custom questions against the transcript via local LLM	medium	None	T2
chart_descriptions	Per-chart LLM narratives (finalize-phase; after all charts)	medium	None	T2
insights	Content-first insights layer separated from style markers	light	insight_eligibility, highlights	T0
voice_features	Voice feature extraction and caching	heavy	None	T0
voice_mismatch	Tone–Text mismatch detection (sarcasm/discord moments)	medium	voice_features	T0
voice_tension	Conversation tension curve from voice	medium	voice_features	T0
voice_fingerprint	Per-speaker voice fingerprint baseline and drift	medium	voice_features	T0
prosody_dashboard	Prosody dashboard charts from voice features	medium	voice_features	T0
voice_charts_core	Voice charts core: pauses + rhythm indices	medium	voice_features	T0
voice_contours	Voice contours (slow; needs audio decode + pitch tracking)	medium	voice_features	T0