JONATHAN R. DULL. The French Navy and the Seven Years' War. (France Overseas: Studies in Empire and Decolonization.) Lincoln: University of Nebraska Press. 2005. Pp. xiii, 455. $35.00
Bibliographic record
Abstract
Thirty years ago Jonathan R. Dull's book on the French navy and the American War of Independence put all interested historians in his debt. That was largely a story of French success. Now his credit is greatly expanded by this exhaustive study of an earlier war that witnessed both the virtual annihilation of the French navy and the beginning of its revival. In his first volume, Dull toiled in the absence of significant literature on the topic. Now, with this new study on the misnamed Seven Years' War, he is able to incorporate a growing body of historical writing that makes wide use of French archival sources. Almost none of it derives from the research of French historians, who, with very few exceptions, continue to ignore eighteenth-century French naval history. While making sensible use of the scholarship on the British navy in this era, Dull is not overwhelmed by its massive extent and depth. However important the work of historians of the British navy, like American colonial historians, very few of them have dipped into French archives. It is their loss.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 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".