Vera Shuman, David Sander & Klaus R. Scherer (2013), Frontiers in Psychology 4:261 — DOI-10.3389/fpsyg.2013.00261
Key takeaways
- Multifaceted valence (pp. 1–3). In the component process model, “qualitatively different types of valence are proposed based on appraisals of (un)pleasantness, goal obstructiveness/conduciveness, low or high power, self-(in)congruence, and moral badness/goodness” (p. 1).
- Pleasantness is not goal conduciveness (p. 2). Intrinsic pleasantness is “a strong, genetically determined association of particular objects with (dis)pleasure”. “Goal conduciveness is a second, qualitatively different, type of valence.” Needs fix goal conduciveness directly but only “set thresholds for pleasantness”. The split is grounded in Berridge: “pleasure is independent of goal conduciveness. The sensual enjoyment of an object and the goal striving toward an object rely on different brain mechanisms (e.g., Berridge, 2003).”
- Mixed feelings (p. 3) arise by three routes: conflict within one check, between checks, or between levels of processing of one check.
- Macro-valence (pp. 4–7) is one-dimensional, the “integrative ‘common currency’ to compare alternatives for choices” (p. 1), always present and possibly objectless, like core affect.
- Integration rules (pp. 8–9). Micro-valences combine by a weighted sum, or by tallying, lexicographic, elimination-by-aspects or one-clever-cue rules, for which “no trade-offs between micro-valences are required” (p. 8). Some micro-valence may “generally dominate” the rest, moral goodness being the candidate (p. 9).
- Levels interact over time (pp. 9–12), as a nonlinear dynamic system. Macro-valence feeds back on later appraisals. Emotions are attractor states. Emotions can themselves be appraised, so their valence is not fixed (p. 12).
Standing in the record
Filed on 2026-10-23 for the record’s potential account of valence (CLAIM-440, TERM-076) and the objection to it (CLAIM-438). NOTE-1108 sets out what it does to both. In short, it gives the record a principled taxonomy for conceding the objection in part, but not a rescue of “hedonic”. It also uses “dominance” for the PAD axis (p. 4), which is one reason the record now says “potential”.
No instruction for machine-learning practice; nothing here belongs in the anthology.