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
RECENT WORK ON CATULLUS HAS SOUGHT TO EXPAND our critical understanding of his poetry both by drawing on new approaches and also by incorporating more individual poems into the critical picture. In particular, greater concentration on the realia of Roman society and fuller appreciation of the dynamics of Catullan language have allowed us to map out meaningful connections between once neglected and frequently opaque texts and the best known poems in the Catullan corpus. At the same time, scholarship has been exploring the importance of the audience as a factor in the interpretation of Latin poetry; indeed, awareness of the complicated interactions between text and audience has opened up new possibilities for reading even the most opaque texts of Catullus.1 In this paper, I will suggest how such approaches can lead to a greater appreciation of Carmen 60, which, like many of the very short poems of Catullus, has not excited much scholarly comment.2 The reasons for this neglect are more or
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 0.002 |
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