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Making Fun of Sport: James Fitzmaurice, Robert Ripley, and the Art of Sport Cartooning in Vancouver, 1907-1918

2010· article· en· W1487997380 on OpenAlexaffabout
Robin Anderson

Bibliographic record

VenueJournal of Sport History · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsCartoonistNewspaperPeriod (music)HistoryMedia studiesGender studiesVisual artsArtSociologyPolitical scienceAestheticsLawPolitics

Abstract

fetched live from OpenAlex

Abstract This study looks at the emergence of newspaper sport cartooning in the early twentieth century through a comparison of the parochial images of Vancouver British Columbia cartoonist James Fitzmaurice and the syndicated American sports cartoons of Robert Ripley. The study examines the working lives of the best known American sport cartoonists and then focuses on the work of Vancouver Province staff cartoonist James B. Fitzmaurice during the prewar period and how these images grew out of local experience. With the arrival of the syndicated sports cartoons of New York City cartoonist Robert Ripley in 1914, Vancouver readers are given “world of sport” images that differed from the more eclectic visual meanings tied to local experience that characterized Fitzmaurice’s work. This study suggests that the contrast between Fitzmaurice and Ripley marks the difference between two levels of sport culture consumption and that visual culture acted as an important conduit for the growth of shared international sport consciousness.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.464

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 studies0.0190.009
Scholarly communication0.0050.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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 designQualitative
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

Citations1
Published2010
Admission routes2
Has abstractyes

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