The ‘Necessity’ of Corot and Whistler in Pater’s ‘Network’ of Painters
Bibliographic record
Abstract
As much as the past is a ‘living thing’ for Walter Pater, so too is the present. In ‘Wincklemann’, originally published in 1868, Pater insists that ‘the subtle and penetrative, yet somewhat grotesque art of the modern world’, and the complexity of ‘modern culture’, must be interrogated with a ‘deeper view’ ( TR , pp. 178, 181, 180). The five concluding paragraphs of ‘Winckelmann’ struggle , to use Pater’s term for intellectual and aesthetic endeavor, to understand how the ancient world and its ideals can serve ‘the modern world’, nurture its instincts ‘of self-culture’ ( TR , pp. 182–3), and help to delineate the contours of a ‘modern’ consciousness. All the while that Pater is studying Hellenic art and Renaissance culture, he is also developing a ‘network’ of associations among nineteenth-century French writers such as Victor Hugo, Charles-Augustin Sainte-Beuve, Charles Baudelaire, Théophile Gautier, Gustave Flaubert, and Prosper Mérimée, and English writers such as William Wordsworth, John Henry Newman, Dante Gabriel Rossetti, 1 William Morris, and Algernon Charles Swinburne. Painters also ‘penetrate the network’, however subtly, and that is the subject of my essay: how the very ‘modern mind’ of Walter Pater experienced and assessed the works of Jean-Baptiste Camille Corot (1796–1875) and James Abbott McNeill Whistler (1834–1903). 2 The ongoing, intertextual3 presence of both in his writings not only reaffirms Pater’s Bourdieu-like insight that artists ‘breathe a common air, and catch light and heat from each other’s thoughts’ ( TR , p. xxiv), but constitutes one of those definitional pairings which Pater deploys so effectively throughout this canon. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.030 |
| Scholarly communication | 0.015 | 0.020 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".