Bibliographic record
Abstract
Heroides9 takes the form of a letter sent by Deianira to Hercules as a reinforcement to the tunic smeared with Nessus' blood which she has already dispatched in the mistaken belief that it will revive the hero's love for her. In this epistle she tries to persuade her husband to give up his latest girlfriend (Iole) by showing him that she loves him, by arousing pity for herself, and by making him feel ashamed of his philandering and see that he thereby disgraces himself. Obviously there is pathos here, particularly as the deaths of Hercules and Deianira loom in the background, but there is also wit, irony, and (especially dark) humour, creating a piquant tonal mixture which has been almost entirely neglected by critics. They have seen the sadness, and some of the irony (which is taken to be purely tragic), but they have not grasped the facetious aspects, whereby our irreverent poet ensures that the piece does not lapse into mawkishness and engages the head as well as the heart.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.024 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".