The Subject of Poussin's 'Landscape with a Woman Bathing' in Ottawa
Bibliographic record
Abstract
Nicolas Poussin's landscape paintings stand apart from those of his contemporaries not only for the grandeur of their designs but also for the complexity of their subject-matter. With few excep- tions, they share the dimensions of his history paintings, and thus are considerably larger than most examples of this genre produced in seventeenth-century Europe. Only the landscapes by his fellow French expatriate in Rome, Claude Lorrain, rival them in ambition, scale and thematic richness. The subjects that Poussin introduced into these majestic vistas are frequently new to the genre - Pyramus and Thisbe, Orpheus and Eurydice, the giant Orion searching for the sun, Ruth amid the alien corn - and some remain unique. Lacking the detailed classical training of earlier centuries, few educated modem viewers would know about the Athenian general Phocion had not his betrayal, death, burial and eventual exoneration inspired two of Poussin's greatest landscape paintings.' If the search of the cynic philosopher Diogenes for an honest man is familiar enough to inspire a joke in the New Yorker, where he once appeared searching with his lantern for an honest dealer amid a wasteland of used car lots, his philosophical epiphany on seeing a boy drink water from his hands, thus rendering even the possession of a bowl unnecessary, is not part of our popular mythological culture. Even Poussin's public had rarely seen this moment portrayed and never in so grand a landscape setting as in Poussin's depiction of the theme (Louvre, Paris).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.015 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".