The Use of Lockhart’s Memoirs (1714) in the Writings of Eighteenth-Century Whig Historians of the Anglo-Scottish Union (1707)
Bibliographic record
Abstract
Eighteenth-century whig historians of the Union (1707) reacted to Lockhart’s tory-jacobite Memoirs in different ways. While John Oldmixon (1672-1742) incorporated passages from them into his account of the Union for the sake of confuting them, Abel Boyer (1667-1729) and Nicholas Tindal (1687-1774) endorsed them to a large degree, borrowing from them extensively. Then, several historians writing in the mid- to late eighteenth century such as Thomas Somerville (1740-1830) or Malcolm Laing (1762-1818) approached them with an open mind, but also some critical distance, revealing an evolution in British historiography towards a more scholarly approach to historical sources. Except for Oldmixon’s accounts, all those historians’s expositions of the Union were to some extent impacted by Lockhart’s Memoirs. Far from using the latter only as a storehouse of information on the Union, they were all in some mesure influenced by Lockhart’s vision of that event and, as a result, ideologically hybrid.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".