Bibliographic record
Abstract
Here, Martin Bowman brings us the first book on Operation Varsity to include both British and US air and ground operations, as well as the US, British and Canadian paratroop and resupply missions, all presented together in one ambitious volume. Operation Varsity-Plunder, the last large-scale Allied airborne operation of World War II, was certainly no walk-over. Varsity was the airborne part, whilst Plunder represented the British amphibious operations by the British Second Army. The airlift consisted of 541 transport aircraft containing airborne troops and a further 1,050 troop-carriers towing 1,350 gliders. The American 17th Airborne Division s C-46 Commando transports and Waco gliders joined the British 6th Airborne Division C-54s, C-47 transport aircrafts, Horsas and Hamilcar gliders to form an immense armada that stretched for more than 200 miles across the sky. The successful air attack involved more than 10,000 Allied aircraft and was concentrated primarily on Luftwaffe airfields and the German transportation system. The combination of the two divisions in one lift made this the largest single day airborne drop in history. In this impressive account, Martin Bowman weaves first-hand testimony and a compelling historical narrative together with a variety of photographic illustrations, many of which have never been published before, in order to create a complete and fascinating record of events as they played out in March 1945
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.073 | 0.024 |
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".