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
Cognitive Theories of emotions have enjoyed great popularity in recent times. Allegedly, the so-called Perceptual Theory constitutes the most attractive version of this approach. However, the Perceptual Theory has come under increasing pressure. There are at least two ways to deal with the barrage of objections, which have been mounted against the Perceptual Theory. One is to argue that the objections work only if one assumes an overly narrow conception of what perception consists in. On a better and more liberal understanding of perception, the objections lose their force. The other is to stress that the differences between emotions and sensory perceptions can be explained by focusing on a new analogy. As I will argue, emotions have interesting similarities with magnitude representations, such as the representation of distance. Such representations are plausibly thought to be analog and non-conceptual, but by contrast to sensory perceptions, such as colour perceptions, they do not lie at the sensory periphery. This new analogy makes room for a novel and attractive theory of emotions, the Receptive Theory, which allows for a positive and epistemologically fruitful characterization of emotions.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it