Admiral Jellicoe Goes to Sea: The Naval Mission and the Ambition for an “Imperial Royal Navy”
Bibliographic record
Abstract
An important milestone in the development of the dominion navies was the Empire Cruise conducted by Admiral Sir John Jellicoe in 1919, during which he visited India, Australia, New Zealand, and Canada. At the conclusion of each stage of his trip, Jellicoe prepared a report for the dominion government concerned explaining how it might establish an effective local navy that could support the Royal Navy in the defense of the empire. Although Jellicoe’s advice was not immediately followed due to financial exigencies and war weariness, the principles he expounded provided the foundations for the highly effective dominion navies in the later years of the Second World War and beyond. While the historiography has largely dismissed the value of the Empire Cruise, this article offers a reappraisal. La croisière de l’empire menée en 1919 par l’amiral Sir John Jellicoe, au cours de laquelle il a visité l’Inde, l’Australie, la Nouvelle-Zélande et le Canada, a marqué une étape importante dans le développement des marines nationales. À la fin de chaque étape de son voyage, Jellicoe préparait un rapport pour le gouvernement fédéral concerné dans lequel il expliquait comment ce gouvernement pouvait établir une marine locale efficace qui pourrait appuyer la Marine royale dans la défense de l’empire. Bien que les conseils de Jellicoe n’aient pas été immédiatement suivis en raison des exigences financières et de lassitude de la guerre, les principes qu’il a énoncés ont jeté les bases des marines fédérales très efficaces des dernières années de la Seconde Guerre mondiale et par la suite. Alors que l’historiographie a largement rejeté la valeur de la croisière de l’empire, cet article constitue une réévaluation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".