Bibliographic record
Abstract
The fact that the most delightful of Shakespeare&s;s comedies was on the boards in the sixteen-sixties, when Pepys saw it more than once, &s;a silly play&s;, he calls it, &s;and not related at all to the name or day&s;, may well be misleading. For though, in 1703, Twelfth Night furnished ideas and a certain number of lines to a negligible piece by William Burnaby called Love Betray&s;d , it was not acted again until 1741, this time, we may be certain, without the slightest guidance from tradition. In one of two Twelfth Night promptbooks prepared by George Becks, when Sir Toby says &s;Let me see thee caper&s;, Sir A does so, Sir Toby taps his cane on stage, higher &c. Dyce, in 1853, could well remember that, when Twelfth Night was revived at Edinburgh many years ago, Terry, who then acted Malvolio, had &s;straw about him&s;, on his release from durance.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.544 | 0.388 |
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".