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Record W2064113032 · doi:10.3138/ijcs.2014.010

Imaginative Decoration: Peregrine Acland as Author, Adman, and Advisor

2014· article· en· W2064113032 on OpenAlexvenueaboutno aff
Colum Kenny

Bibliographic record

VenueInternational Journal of Canadian Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsHEROGeorge (robot)Prime ministerArt historyHistoryPerformance artArtClassicsLawSociologyLiteraturePoliticsPolitical science

Abstract

fetched live from OpenAlex

This article traces the fate of Peregrine Acland (1891–1963), who wrote a critically acclaimed novel based partly on his personal experiences as a Canadian hero of the First World War. He was inspired by George Bernard Shaw, whom he sought out while on military service in England. Documents recently discovered in the advertising archives of Duke University and entries in the diaries of Canada’s longest-serving prime minister, William Lyon Mackenzie King, reveal that Acland was later torn between his job as a successful advertising copywriter and his literary ambitions. The article finds that Acland’s work for J. Walter Thomson and other advertising agencies, as well as for King, displaced energies that he might otherwise have employed to build on the literary success he achieved in 1929 with his novel All Else Is Folly, for which Ford Madox Ford wrote an enthusiastic preface. Acland was more complex and interesting than cursory accounts of his life suggest.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.887
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.029
GPT teacher head0.306
Teacher spread0.277 · 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 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
Published2014
Admission routes2
Has abstractyes

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