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Record W7039824978

Air war "Varsity"

2017· article· en· W7039824978 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBryophyte Studies and Records
Canadian institutionsnot available
Fundersnot available
KeywordsWorld War IIGermanFirst world warAviationArtillerySpanish Civil War
DOInot available

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.213
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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