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
Uniting literary analysis, theories of emotion from the sciences and humanities, and a deeply archival account of Tudor history, Irish freshly examines how literature reflects and constructs the dynamics of emotional life in the Renaissance courtly sphere. Spanning the 16th century, this study argues that the dynamics of disgust, envy, rejection, and dread, as they are currently theorized in the modern affective sciences, can be seen to guide textual production in the early modern court. With a multidisciplinary approach, the book develops and advances current scholarly treatments of early modern emotionality—which, in their largely historicist orientation, have tended to consider only how emotions were understood by Renaissance subjects. Because emotions are both socially contingent and biologically grounded, the author demonstrates the value of placing the transhistorical insights of the modern affective sciences alongside the still crucial findings of the historicist mode.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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