Personal Intentionalism and the Understanding of Emotion Experience
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
How should we seek to account for the qualitative aspect of emotion? Strong intentionalism presents one promising avenue for such an account. According to strong intentionalism, the phenomenology of a mental state is entirely determined by that state's intentional content. Given that many views of the emotions have it that the intentionality and phenomenology of the emotions are very closely related, this makes strong intentionalism an especially promising route. However, strong intentionalism has rarely been defended for emotions and, we argue, where it has, it has failed to be explanatory. This paper proposes a new explanatory form of strong intentionalism about emotion. We call it personal intentionalism. According to this view, the qualitative features of emotion are fully determined by the emotion's intentional content. This content varies inter- and intraindividually, according to one's cares and concerns, as well as one's other mental states. We assess its compatibility with theories of consciousness.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it