Part III: Affect Signatures

Notation

This terrible beautiful freedom to navigate despite not having chosen to exist as a navigator—you cannot help but care about your trajectory through affect space any more than you can help but exist while existing. Mattering is what viability gradients feel like from inside. And so the only question is whether you will navigate blindly, letting whatever attractor basins happen to capture you determine your course, or whether you will measure, understand, and steer in full knowledge of what you are.

Notation

This part uses the salient coordinates defined in Parts III: five world-axes — Val\valence (valence), Ar\arousal (arousal), Φ\intinfo (integration), reff\effrank (effective rank), CF\mathcal{CF} (counterfactual weight) — together with an entity-directed salience family whose diagonal is self-model salience SM\mathcal{SM}, itself split into σattention\sigma_{\text{attention}} (the self as object of attention) and σcausal\sigma_{\text{causal}} (the self as driver of action). The list is not a fixed six but an extensible set; the affect state at\mathbf{a}_t is characterized by whichever coordinates are relevant to the phenomenon under analysis—not all matter equally for every signature. Cultural forms, practices, and technologies can be characterized by their affect signatures—the structural features they reliably modulate. The perceptual mode through which these signatures are experienced is governed not by a single scalar but by three independent axes (Part II): α(x)\alpha(x), the entity-indexed ascription field (how much interiority, agency, and teleology the system grants to entity xx); κ\kappa, the coupling of the perceiver's own modes (perception, affect, agency, narrative coupled versus factorized — high κ\kappa is the curved eigenskeleton felt as "meaning," low κ\kappa is the flat skeleton in which the world goes dead); and γ\gamma, the gain or precision weighting that sets how far bottom-up signal overrides top-down prior. That these three covary in biological perceivers is a conjecture, not a definition.

atValenceapproachavoidArousalhighlowIntegration (Φ)unifiedfragmentedEffective RankopennarrowCF WeightelsewherepresentSelf-Salienceself-awareabsorbed