Area Bombing by Day: Bomber Command and the Daylight Offensive, 1944â1945
Bibliographic record
Abstract
This article will examine an important but neglected phase of the Allied strategic bomber offensive in the Second World War. Given the very rich literature on the bombing war it is surprising to discover that litle attention has been paid to the daylight attacks undertaken by Royal Air Force (RAF) Bomber Command in the fall and winter of 1944–1945. Nowhere in the existing literature is there a systematic analysis of this period of operations when the RAF and Royal Canadian Air Force (RCAF) carried out 153 daylight raids between 27 August 1944 and 24 April 1945. Two primary issues will be addressed. The first concerns the accuracy achieved by Bomber Command in its daylight missions. The second is to determine if the reintroduction of daylight attacks resulted in Bomber Command carrying out a different and more selective targeting policy. Both of these issues are related to the more general question of the role played by Air Marshal Sir Arthur Harris in shaping the policy of Bomber Command. Harris’s name is usually associated with doctrinaire commitment to area bombing in general and the destruction of German civilian housing in particular. The evidence presented in this essay will allow the reader to form a more complete picture of Harris’s repsonse to the changing circumstances of the war.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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".