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
Gerald C. Cupchik builds a bridge between science and the humanities, arguing that interactions between mind and body in everyday life are analogous to relations between subject matter and style in art. According to emotional phase theory, emotional reactions emerge in a 'perfect storm' whereby meaningful situations evoke bodily memories that unconsciously shape and unify the experience. Similarly, in expressionist or impressionist painting, an evocative visual style can spontaneously colour the experience and interpretation of subject matter. Three basic situational themes encompass complementary pairs of primary emotions: attachment (happiness - sadness), assertion (fear -anger), and absorption (interest - disgust). Action episodes, in which a person adapts to challenges or seeks to realize goals, benefit from energizing bodily responses which focus attention on the situation while providing feedback, in the form of pleasure or pain, regarding success or failure. In high representational paintings, style is transparent, making it easier to fluently identify subject matter.
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 | 0.000 | 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 | 0.001 | 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