Late Literature in the Sixth Century, East and West
Bibliographic record
Abstract
The International Society for Late Antique Literary Studies was cofounded by David Bright (Emory University), Scott McGill (Rice University), and Joseph Pucci (Brown University) in 2012, after a pair of conferences hosted at Rice University and Brown University in 2011. The organisers intend a broad definition of literature — Christian as well as secular, high as well as low — and envision the sharing of work on literary studies, East and West. This was the first of a series of biennial or annual conferences. The conference limited its focus to the rich body of literature surviving from the sixth century. The organisers encouraged contributions focused on the Greek east, or on the connections between eastern and western literature. This brought together classicists, Latinists, and medievalists in fruitful debate and conversation. The fifteen papers presented over the course of two days were given in the Annmary Brown Memorial (www.library.brown.edu/about/amb/). In what follows, I will summarize each paper and the conversation it provoked, concluding with a general summary of particular themes drawn out by presenters.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".