The ‘Great Plane’: the designed landscape at Loudoun Castle, East Ayrshire, Scotland, 1690 to the early 1900s
Bibliographic record
Abstract
The designed landscape at Loudoun Castle, Ayrshire in southwest Scotland, is of the highest importance in the history of Scottish landscaping, It is a formal landscape of extending avenues aligned on distant focal points – a style now recognised as the Scottish Historical Landscape. This essay is a detailed account of Loudoun’s design and development based on primary sources which include archival documents and maps, and contemporary aerial and Lidar survey. The methods used include archival research, map digitisations, land survey, aerial and land photography, as well as the analyses of cultural, historical and symbolic content and a pertinent historiographical issue. The attribution of the design to the Earl of Mar was first made in the nineteenth century and this essay confirms this from an archival source. Mar’s collaborators are identified as Hugh Campbell, 3rd Earl of Loudoun (c.1677–1731), the executant architect on site was Alexander McGill (died 1734) and the architect, James Gibbs (1682–1754) contributed now lost garden buildings. Finally, the essay presents a stylistic analysis of the design and links Loudoun with other plans by the Earl of Mar, placing it within the Scottish and the wider European contexts of the period.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".