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Record W3088257573 · doi:10.7202/1069727ar

Translating Music into Visual Form: The Influence of Music in the Work of Bertram Brooker

2020· article· fr· W3088257573 on OpenAlex
Glenn A. Williams

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsYork University
Fundersnot available
KeywordsArtHumanitiesArt history

Abstract

fetched live from OpenAlex

Cet article se propose d’examiner l’influence de la musique sur la vie et l’oeuvre de Bertram Brooker. Dans ses expériences avec le son et la couleur, Brooker a été influencé par ses contemporains, Wassily Kandinsky, Georges Braque et Georgia O’Keeffe. La documentation suggère que Brooker était parmi les premiers artistes canadiens d’explorer la corrélation entre les arts et d’essayer des idées modernistes. Il a présenté ces idées à 250 000 lecteurs dans sa rubrique « Seven Arts », publiée dans les journaux Southam du 20 octobre 1928 au 15 novembre 1930. Ses écrits affirment que Brooker était un catalyseur pour des changements dans l’art canadien. Pour clarifier encore plus le rôle que la musique a joué dans l’oeuvre de Brooker, ses expériences musicales, sa poésie, et ses autres écrits sont discutés, en plus de sa connaissance de la littérature métaphysique et la théorie d’art contemporaine. Finalement, l’analyse est fait d’un certain nombre de ses peintures et dessins des années 1920 et 1930.

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.

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)0.001
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.228
Teacher spread0.199 · 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