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Record W89379747

Reference to index of records of cartoon of Alexander George Gurney (1902-1955)

2010· article· en· W89379747 on OpenAlexaboutno aff
Alexander George Gurney

Bibliographic record

VenueUTAS Research Repository · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)AppealHistoryCartoonistArt historyLawGenealogyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Alexander George Gurney (15 Mar 1902 -4 Dec 1955), was an Australian cartoonist born in Morice Town, Devon, UK. After his father died in 1903, his mother (who was Australian) returned with him to Hobart, Tasmania, where she remarried. After leaving Macquarie Street State School at age 13, he served a seven year electrical apprenticeship with the Hydro-Electric Commission, studying art part-time in night classes at Hobart Technical School In 1939 he created the characters for which he became famous: Bluey and Curley, which first appeared in the "Picture-News" magazine then The Sun News-Pictorial in 1940 and syndicated throughout Australia, New Zealand and Canada. The strip, about a pair of soldiers. Was appreciated for the good-humoured way it depicted the Australian "digger" "mateship" and for its realistic us use of the Australian idiom. Alex visited army camps throughout Australia and New Guinea to ensure authenticity. While in New Guinea he contracted malaria and was incapacitated for some time. The strip lost some of its appeal and readership when the pair returned to 'civvy' street.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.126
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1050.038

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 head0.109
GPT teacher head0.418
Teacher spread0.309 · 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
Published2010
Admission routes1
Has abstractyes

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