Mud and Blood in the Final Months of World War II: ‘Soil’ Maps of North-West Germany that Helped to Guide British and Canadian Military Operations in Early 1945
Bibliographic record
Abstract
Towards the end of World War II, from January 1945, British/Canadian forces supplemented the use of topographical maps by compiling innovative specialist thematic maps to assist troops advancing eastwards from Belgium and the Netherlands into north-west Germany. ‘Soil’ maps were used to predict (1) cross-country trafficability and (2) potential airfield construction sites. Intensive bombardment of ground that was unexpectedly waterlogged as well as deliberate flooding by the enemy created mud which initially slowed cross-country movement. So too did determined German military resistance: the campaign included arguably the bloodiest operation for troops of 21st Army Group since their battle for Normandy in the summer of 1944. Significant maps, mostly at 1:100,000, are now preserved in England within the Shotton Archive at the Lapworth Museum of Geology, Birmingham. Together with expertise from geologists Major F.W. Shotton and Squadron Leader J.F. Kirkaldy, the maps contributed to terrain analysis that assisted with operational planning.
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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 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".