Les Cathédrales englouties du peintre Ceri Richards. Une interprétation picturale des sonorités et de l’écriture debussystes
Bibliographic record
Abstract
Le peintre britannique Ceri Richards (1903-1971), mélomane et pianiste amateur, accorde une grande place à la musique et à la poésie dans son oeuvre. Après la Seconde Guerre mondiale, les références musicales sont de plus en plus importantes dans son travail artistique. Sommet de son art, la série des Cathédrales englouties (v. 1957-1967), inspirée du prélude éponyme de Claude Debussy, montre un langage plastique original et révèle des sources d’inspiration majeures empruntées à la partition : d’une part, les indications d’atmosphère notées par Debussy à l’intention du pianiste, et, d’autre part, des extraits musicaux cités par le biais de collages de mesures précises. L’analyse comparative proposée dans cet article met en relation la musique et la peinture à partir des atmosphères harmoniques et des indications pianistiques de la partition de Debussy. Elle montre comment les structures musicales s’invitent dans les tableaux porteurs de titres extraits de la partition du prélude et évoque les correspondances entre l’univers musical de Debussy et l’univers pictural de Richards.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".