Bibliographic record
Abstract
Sudbury Hall in Derbyshire was begun in the early 1660s, roofed and richly decorated in the 1670s and its interior further adorned in the 1690s. Yet the Jacobean characteristics of its plan and facades have led to suggestions that its structure was built much earlier in the seventeenth century (Figs 2 and 3). Its creation was the life work of one man, George Vernon (1636–1702), who inherited Vernon estates in Derbyshire, Staffordshire and Cheshire upon the death of his father in February 1659. Sudbury was the most extensive of these. George Vernon had not, however, been brought up there. Upon their marriage in 1635, his parents had established themselves on his mother’s ancestral estate of Haslington in Cheshire. His mother was an heiress, the sole surviving child of a judge, Sir George Vernon, who died in 1639. George’s father did not inherit Sudbury until June 1657. George and his younger siblings were born at Haslington Hall, which remained the family’s home throughout the civil wars and commonwealth years, and was in due course part of George’s inheritance.
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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 | 0.002 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.112 | 0.009 |
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".