Douglas Porch, Defeat and Division: France at War, 1939-1942 by Chris Madsen
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord Bengal.Following their successes in the early months of 1942, the Japanese also expected to be able to operate with impunity in the Indian Ocean and stifle trade, particularly the flow of oil from the Persian Gulf to Australia, which would restrict operations being conducted from Australia by Allied forces.To counter the Japanese actions, the Royal Navy rushed forces to the eastern Indian Ocean.Vice Admiral Sommerville arrived in Ceylon on 24 March 1942 and set up his headquarters there.His also wisely established his main operational base at Addu Atoll (in the Maldives), thus creating a "fleet in being" but one that could protect the sea lines of communication in the Indian Ocean, particularly the flow of oil from the Persian Gulf.The Royal Air Force also began to move available aircraft from the Middle East to India and Ceylon, while any available Dutch or Australian aircraft were also sent to Ceylon.Thus, the stage was set for the Japanese naval operations against Ceylon, and other locations, in the Indian Ocean in April 1942.The second portion of the campaign is described in Volume 2 of this series and I look forward to reading it in due course.Michal Piegzik has produced a very good analysis of the Japanese thrust westwards into the Indian Ocean.This campaign is often over-shadowed by the campaign in the Pacific, but the essential flow of logistics support to India, to support the British campaign in Burma, helped prevent a potential Indian uprising.Additionally, maintenance of the sea lines of communication to Australia meant that Allied forces could use the continent as a safe springboard to commence offensive operations in the Pacific.While the book is extremely well illustrated with photographs and graphics of Japanese aircraft, it is quite light on maps which would enhance the narrative.That said, it is still highly recommended.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.056 | 0.017 |
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".