Bibliographic record
Abstract
In the Preface to Cantos I and II of Don Juan , Byron invents a complex and parodic narrative structure through which he asks his readers to visualize the story he is about to tell. The Preface opens with a slap at Wordsworth’s ‘unintelligible’ note to his equally unintelligible poem ‘The Thorn’, where Wordsworth suggests that his poem’s narrator is ‘“the captain of a merchantman or small trading vessel”’. Byron then one-ups his rival: he requests of his own reader a ‘like exertion of imagination’ to suppose that Don Juan will be narrated by a ‘Spanish gentleman in a village in the Sierra Morena’ or, if we prefer, an English gentleman who has spent time in Spain and thus knows the language well. From here, Byron complicates the scene of storytelling with precise detail: at some distance a groupe of black-eyed peasantry are dancing to the sound of the flute of a Portuguese servant belonging to two foreign travellers who have an hour ago dismounted from their horses to spend the night on their way to the capital of Andalusia;—of these, one is attending to the story and the other, having sauntered further, is watching the beautiful movements of a tall peasant girl whose whole soul is in her eyes and her heart in the dance, of which she is the magnet to ten thousand feelings that vibrate with her own. ( CPWV , 83) These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.051 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 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 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".