Gilbert Shrank. <i>An Orkney Estate: Improvements at Graemeshall, 1827-1888</i>
Bibliographic record
Abstract
hrough the eyes of an agricultural historian Gilbert Schrank presents an admirable account of the Orkney Estate at Graemeshall during the nineteenth century.This comprehensive study examines the processes of change and the complex interaction of a number of factors: soil, population, geographical position, weather and economic fluctuations and the extent these contributed to agricultural improvements.Schrank's work not only provides a distinctly Scottish character but triumphs in preventing the alienation of readers unfamiliar with this particular era.By tracing ownership of the estate through the various lairds and frequent references to the social relations of the Petrie and Graeme family, the author consciously injects the valuable human input which made the improvements a reality.This added a unique perspective as the reader better comprehends inchoate aspirations and the quest for successful implementation of technology on a nineteenth century estate in Scotland.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.002 |
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".