Bibliographic record
Abstract
Wounded in battle, ringleader of an officers’ mutiny, survivor of a mauling by a tiger, candidate in a Parliamentary by-election – Patrick ‘Tiger’ Duff (1742–1803) had an eventful life. The son of a Speyside tenant farmer, he rose to the rank of General in the East India Company army and retired to a country estate near Turriff. He made a fortune in India, in part because of his family connections with the Gordons of Letterfourie. James and Alexander Gordon were successful wine merchants in Madeira. They not only provided for Patrick’s education, but also employed his brothers James and Robert in the wine trade. In turn, Patrick was able to win business for the partnership amongst the hard-drinking British in India. Scottish merchants, such as the Gordons, were an important part of the British merchant community in Madeira. Wealth from both sources, the empire of conquest in India and the empire of commerce exemplified by Madeira, flowed back into Scotland and fuelled the process of agricultural improvement.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.118 | 0.030 |
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".