Matthew Lockwood . The Conquest of Death: Violence and the Birth of the Modern British State. New Haven: Yale University Press, 2017. Pp. 404. $85.00 (cloth).
Bibliographic record
Abstract
which the Jacobite threat, especially in its cultural and ideological manifestations, demanded a response from Hanoverian propagandists and so influenced their representation of the regime.Glickman, too, is one of the few contributors to devote any serious attention to Scotland, casting some light on the distinctiveness of the Hanoverian relationship with that kingdom.In the light of recent interest in "three kingdoms" history, especially among early modernists, it is perhaps surprising that this volume does not include any more sustained attempt to engage with the relationship between the Hanoverian monarchy and its other kingdoms.Such a contribution would undoubtedly have added further dimensions to the "various and often conflicting ways in which it presented itself to the outside world and in turn was portrayed by other groups" (22).However, this omission should not distract from the achievements of an impressive volume, which makes an important and original contribution to eighteenthcentury political history.It is precisely the kind of volume that will remind historians why they can only lament the demise of Ashgate Publishing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.025 | 0.011 |
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".