The Grand Tour of Prince George of Denmark in England, 1669
Bibliographic record
Abstract
This annotated diary describes the politics, cultural richness and practicalities of elite educational travel in England during the early reign of Charles II. Prince George of Denmark is best known to Anglophone historiography for having married Queen Anne of Great Britain, in 1683. This critical edition of the diary detailing the Prince's Grand Tour in England, which took place in the summer of 1669, sheds light on the critical complexity of George's role within Stuart political history, a role that commenced during his youthful, incognito travels. The Grand Tour was an important rite of passage introducing young princes to the European political stage, and the ongoing political, ceremonial and multilingual exchanges characterising Baroque diplomacy. From his base in York House, London, Prince George's itinerary ranged from Canterbury Cathedral, to the fleet at Chatham to Whitehall Palace, from Hampton Court to Windsor Castle, from the Tower of London to the Pall Mall laboratory of Robert Boyle, from the Tradescant Museum to the University of Oxford. The diary describes these experiences in astonishing detail. This edition puts England on the map as a Grand Tour destination, and shows how the Restoration court acted as an important hub for a host of seventeenth-century European princelings undertaking all-important educational travel. The edition is enhanced and contextualised by hitherto unpublished archival sources, including the Tour's financial accounts.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".