Thinking with Your Hypothalamus: Reflections on a Cognitive Role for the Reactive Emotions
Bibliographic record
Abstract
In “Freedom and Resentment,” P. F. Strawson argues that the “profound opposition” between the objective and reactive stances is quite compatible with our rationally retaining the latter as important elements in a recognizably human life. Unless he can establish this, he has no hope of establishing his version of compatibilism in the free will debate. But, because objectivity is associated so intimately with the rationally conducted explanation of action, it is not clear how the opposition of these stances is compatible with the rationality of the reactive attitudes. More to the point, it is not clear how an intellectual activity like shifting from the reactive to the objective stance can dispel reactive attitudes without thereby also rationally disqualifying them. I solve this puzzle by drawing on the idea that one cognitive component of emotions is the rationally optional “shift of attention.” a feature which in turn helps to explain a lot about the role reactive emotions can play in the fixation of belief.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.063 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".