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Openai/6973e373-2b8c-800d-84b7-d7001cfc6bac
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==== A universal explainer (not tied to any case study), with axioms, and a CTDST anchor. ==== ===== This topic can easily become book-length if we preserve all nuance. So I’m going to structure it as a multi-part explainer and only deliver Section 1 in this response. If you want, you can reply “Section 2” and I’ll continue in the next message. ===== Plan # Section 1 — Map + Axioms (what we’re even talking about, and the rules that govern inference) (this response) # Section 2 — Meta-Cluster 1: the observable “effective discourse failure” loop (fully interconnected) # Section 3 — Meta-Cluster 1 continued: the Repair Test (why it collapses uncertainty, what counts as repair) # Section 4 — Meta-Cluster 2: state/modulator layer (why arousal/flooding is not a cluster-variable, stability curves) # Section 5 — Meta-Cluster 3: causal empathy constellation (developmental plausibility without mind-reading) # Section 6 — Normalized misconceptions (including the “text alone can’t tell” overgeneralization) + how to avoid them
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