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Record W7133421994

"For gorsake, stop laughing! This is serious": The British World as a Community of Cartooning and Satirical Art

2022· other· en· W7133421994 on OpenAlexaboutno aff
Richard Joseph Scully

Bibliographic record

VenueRUNE (Research UNE) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperNarrativeIdentity (music)Character (mathematics)Print culturePeriod (music)First world warCape
DOInot available

Abstract

fetched live from OpenAlex

Regarded by Arthur Balfour as "one of the great sources" from which historians might "judge…the trend and character of English thought and life,"1 cartoons have peppered the works of British World history over the past two decades. They have been used to illustrate everything from the imagining of Canadian relations with Britain and the United States;2 attitudes towards the "naked natives and noble savages" of Africa;3 and the "everyday Britishness" of women's lives in 1914-1918.4 It is scarcely possible to imagine British expansion in Africa without Linley Sambourne's "Rhodes Colossus",5 and Chris Holdridge has been particularly active in identifying the importance of satire for British identity in the Cape Colony.6 However, the worldwide British practice and culture of satirical art, cartooning, and caricature, has scarcely been studied. This is surprising, because if it is true that the newspaper was "a core institution" for the "reification of local customs and peoples, the making of colonies of laws and legislation, and imagining new narratives of community,"7 then alongside it and within it, satirical prints, magazines, caricatures, and cartoons were just as crucial.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.360
Threshold uncertainty score0.715

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.005
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0330.005

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 head0.092
GPT teacher head0.390
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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Same venueRUNE (Research UNE)French-language works237,207