Who Needs Values When We Have Valuing? Comments on Jean Moritz Müller, <i>The World-Directedness of Emotional Feeling</i>
Bibliographic record
Abstract
Müller argues that the perceptual or "Axiological Receptivity" (AR) model of emotions is incoherent, because it requires an emotion to apprehend and respond to its formal object at the same time. He defends a contrasting view of emotions as "Position-Takings" (PT) towards "formal objects", aspects of an emotion's target pertinent to the subject's concerns. I first cast doubt on the cogency of Müller's attack on AR as begging questions about the temporal characteristics of perceptual events. I then argue that Müller's version of PT is not radical enough. On my attitudinal view, formal objects are not values but natural properties that justify specific affective or behavioral responses. Values are constituted only by a negotiated social aggregation of individual evaluative attitudes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.016 | 0.019 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".