The Hampton Court Maze and "Three Men in a Boat (to Say Nothing of the Dog)" by Jerome K. Jerome
Bibliographic record
Abstract
The author presents the Hampton Court Maze in the way of Tudor’s history studying. The maze remains a hugely popular part of the Hampton Court Palace, which is the oldest surviving hedge maze in the UK and the first to have been planted in the country. It dates back to the end of the 17th century, when it was thought to have been commissioned by William III in his final years as monarch. Hampton Court’s maze became a hit when the gardens were opened to the public in 1838, demonstrating the popularity of multicausal mazes. The Hampton Court Maze designed and planted by garden designers George London and Henry Wise. The palace and gardens are found in Richmond Upon Thames. The author discovers for students this amazing maze in England and loses yourself in some history along the way. Described a tour of three men in a boat by Jerome K. Jerome. Given some movies filmed by English writer Jerome K. Jerome’s humorous novel "Three Men in a Boat".
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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 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".