Forgotten Squared: Canadian Aircrews in Southeast Asia, 1942â1945
Bibliographic record
Abstract
The battles of World War II in Southeast Asia started with a saga of repeated defeats and retreats by the Allies. Then in 1944, after they re-grouped during a stalemate in 1942–43, the Allies decisively defeated the Imperial Forces of Japan in the jungles of the Chin Hills, leading to a victorious advance down the plains to Rangoon. These campaigns included the greatest land battles and the soundest defeat of the Japanese armies during the war. They were engineered by the combination of sound Allied tactics and resolute jungle fighting that was facilitated by a most intensive and innovative use of airpower. In spite of Winston Churchill’s statement that the attack against Ceylon (Sri Lanka) by a Japanese naval task force in 1942 represented the most dangerous moment of the war, these campaigns have been slighted in subsequent general histories of the World War, as they were by the media of the time.\nDuring the campaigns most of the Allied troops felt that their efforts and sacrifices were unrecognized and largely forgotten in the panorama of the war. They believed that they were poorly supported—they knew they were assigned inferior equipment in deficient quantity—and they suspected they were short-changed by remote leadership and inadequate strategic planning. Those feelings arose in 1941–42 during the defeats and retreats from Malaya, Singapore, the East Indies and Burma, and they hardened during the stalemate after the monsoon of 1942 when the 14th Army dubbed itself the “Forgotten Army.”
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.019 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".