Bibliographic record
Abstract
The 11th of April, being Wednesday, was Sir Thomas Wyatt beheaded up on the Tower Hill … When he was up upon the scaffold he desired each man to pray for him and with him, and said these or much-like words in effect: “Good people, I am come presently here to die, being thereunto lawfully and worthily condemned, for I have sorely offended against God and the queen's majesty, and am sorry therefore. I trust God hath forgiven and taken his mercy upon me. I beseech the queen's majesty also of forgiveness … And let every man beware how he taketh any thing in hand against the higher powers. Unless God be prosperable to his purpose, it will never take good effect or success, and thereof you may now learn at me. And I pray God I may be the last example in this place for that or any other like …” [Then] he plucked off his doublet and waistcoat unto his shirt, and kneeled down upon the straw, then laid his head down awhile, and raise on his knees again, then after a few words spoken, and his eyes lift up to heaven, he knit the handkerchief himself about his eyes, and a little holding up his hands, suddenly laid down his head, which the hangman at one stroke took from him. Then was he forthwith quartered upon the scaffold, and the next day his quarters set at divers places, and his head upon a stake upon the gallows beyond Saint James.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.082 | 0.012 |
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".