Bibliographic record
Abstract
Michael Whitby, Richard H. Gimblett, and Peter Haydon, eds., The Admirals: Canada's Senior Leadership in the Twentieth Century. Toronto: Dundurn Press, 2006. 414 pp. $25.99 paper. The ten scholarly articles and six reminiscences by former Canadian admirals contained in this interesting edited work grew out of a two-day conference held at Halifax in 2002. As Michael Whitby rightfully notes in the fine Introduction, despite recent considerable progress in the writing of Canadian naval history--the first volume of the three-volume official history of the Royal Canadian Navy (RCN) came out in 2002--it has been long recognized that insufficient attention has been paid to the individuals who served in the navy (15, emphasis in the original). In part, this omission reflects a perhaps natural bias toward the study of Canadian Army history in both official and academic circles, given the sheer size of the Canadian Corps in the First World War and then the Canadian Army in the Second World War. Escorting convoys across the Atlantic Ocean, no matter how vital to the final Allied victories over Germany in both those conflicts, lacks the dramatic cachet of seizing a seemingly impregnable Vimy Ridge in April 1917 or charging ashore at Juno Beach on 6 June 1944. But navies--and not just in Canada, for the problem long existed in the Royal Navy and the United States Navy too--also possess a deserved reputation for displaying a profound and proud anti-intellectualism, preferring ship drivers and technicians to deep strategic thinkers like Herbert Richmond or Alfred Thayer Mahan. The historians here, a virtual who's who of Canadians interested in the RCN, seek to depart from this trend, giving us real insight into the men who led the small Royal Canadian Navy. Reconstructing the past was not always easy. As Richard H. Gimblett's chapter on Canadian-born Admiral Charles E. Kingsmill sadly notes, another naval officer, Percy Nelles, later allowed Kingsmill's papers to be destroyed, reasoning that his former commander would have wanted that drastic step taken. Despite a paucity of primary material, Gimblett manages to overturn the received historical version of Kingsmill's tenure as head of the RCN. Gimblett maintains that while Kingsmill did not create a proud or robust service, he managed to build a reasonably sound foundation for an RCN that was but a decade old when Kingsmill departed. The man who succeeded Kingsmill as head of the RCN, the British-born Walter Hose, had a much tougher time, as William Glover makes clear. Hose had to face Canadian governments utterly intent on getting a decided peace dividend after the horrific human and material costs of the Great War, and a Canadian militia keen to squeeze out the RCN for money and political influence. But while Glover briefly outlines Hose's clever rationale for maintaining the RCN, he spends more time on Hose's unremarkable early career than on the often bitter fight with General A. G. L. McNaughton. This is an unfortunate omission, because Hose's true talent was his superior bureaucratic infighting skills: despite McNaughton's effort to gut the RCN, Hose saved his beleaguered service. …
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".