Bibliographic record
Abstract
‘Statius’Thebaid’, someone donnishly quipped, ‘has no sufficient reason to exist.’ Kyle Gervais might beg to differ. Like theThebaiditself, his commentary on Book 2 has grown over many years, and deserves to be taken very seriously. The crisp introduction sets the tone and clearly signals priorities in its four sections, a rising tetracolon for author, problems of editing, intratexts, and intertexts; not a word on style and prosody, and reception is excluded on the ground that Statius’ ownimitatiois quite enough to be getting on with. The text is newly constituted, with ample apparatus and text-critical discussion: Gervais joins Barrie Hall's rebellion against the bifid stemma, but fairly questions his view that theThebaidshould be easy reading; he accordingly diverges from his edition nearly a hundred times, and offers a translation which, if less old-falutin’ than Shack's Loeb, does an equally good job of disabusing anyone who thought it would be quicker to read Statius in English. The notes are full and rich: words aren't wasted, but both philological graft and literary interpretation amply attest to fine scholarship, good sense, and long thought.
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.151 | 0.084 |
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".