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Record W2212960095 · doi:10.24385/lincoln.25159244

Never again! World War 1 in cartoon and comic art

2024· article· en· W2212960095 on OpenAlexaboutno aff
Jane Chapman

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsComicsExhibitionComic stripSpanish Civil WarArt historyParliamentPoliticsFront (military)World War IICartoonistFace (sociological concept)ArtHistoryVisual artsMedia studiesLawLiteratureSociologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Some of the most powerful and memorable images from the First World War are by cartoonists. From the earliest days of the war, British cartoonists such as Alfred Leete, Bruce Bairnsfather, William Heath Robinson and Donald McGill were at the forefront of propaganda battles aimed at bolstering the war effort, ridiculing the enemy and sustaining the nation through the four long years of conflict. Alfred Leete’s famous recruiting cover for London Opinion featuring Lord Kitchener was never an official poster but remains one of the abiding images of the Great War and inspired numerous other designs. For many Bruce Bairnsfather’s grumbling but steadfast soldier ‘Old Bill’ became the face of the long-suffering Tommy in the trenches. Criticised in parliament as ‘vulgar caricatures of our heroes’, Bairnsfather’s down-to-earth drawings were loved by the men at the front. They were reproduced on plates and cards and inspired stage shows and films. The exhibition includes Bairnsfather’s ‘Well, if you knows of a better ’ole, go to it’, widely regarded as the most famous cartoon of the war. Postcards of Bert Thomas’s ‘’Arf a ‘Mo’ Kaiser’, showing a cheeky Tommy pausing to light his cigarette, raised £200,000 for the soldiers’ tobacco fund. The cartoons by the Dutch artist Louis Raemaekers were exhibited three times in London, reproduced around the world and widely credited with helping persuade the Americans to enter the war. Never Again! World War I in Cartoon and Comic Art brings together over 300 images, ranging from political and joke cartoons from newspapers and magazines to colourful comic postcards by the likes of Donald McGill and Douglas Tempest on a huge range of subjects, including life in the trenches, popular songs, food shortages and air raids. There are also children’s comics such as Picture Fun and Comic Life, cigarette cards and maps. Also on display are rare German and French postcards, and trench publications produced by serving soldiers, many of which featured cartoons, which have been extensively researched by Professor Jane Chapman from the University of Lincoln, who has contributed to the exhibition.Many cartoons feature national symbols such as John Bull, the Russian Bear and the French Cockerel. Leaders such as Kitchener and the Kaiser who often appeared with his son in Haselden’s ‘Big and Little Willie’ ? were also popular subjects. There are ‘hate cartoons’ by Edmund J. Sullivan which demonise the Germans, but others by Heath Robinson and Haselden that acknowledge the humanity shared by both sides. The impact of modern warfare, air raids and women’s war work all appear as subjects, as do conscription and conscientious objectors. The exhibition also features some more recent material such as Ralph Steadman’s reworking of Leete’s famous Kitchener design; Charley’s War, the classic 1980s comic strip by Pat Mills and Joe Colquhoun, which depicts the horrors of trench warfare; and drawings from the ‘Horrible Histories’ book The Frightful First World War by Terry Deary and Martin Brown.Artists in the exhibition include H. M. Bateman, Bruce Bairnsfather, Martin Brown, Oscar Cesare, Will Dyson, George Halkett, W.K. Haselden, William Heath Robinson, David Low, Donald McGill, Bernard Partridge, E.T. Reed, Edmund J. Sullivan, Ralph Steadman, Douglas Tempest, F. H. Townsend, Bert Thomas and Tom Webster.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1550.001

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.

Opus teacher head0.042
GPT teacher head0.235
Teacher spread0.192 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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