Doctor Gachet, in the kitchen, with the foxglove
Bibliographic record
Abstract
Vincent van Gogh (1853-1890) is one of the most famous artists in the world. During his 10-year career as an artist, he created more than 850 paintings. These works of art are now displayed in museums around the globe. It is therefore even more surprising that van Gogh sold just one painting during his lifetime. Van Gogh is also well-known for his mental illness. In 1888, at the age of 35, he famously sliced off his left ear. This was followed by multiple mental collapses in early 1889, leading to his admission to a mental hospital. Despite living in the asylum, van Gogh continued to paint and created some of his most beautiful works of art during the year at Saint-Rémy. Tragically, he committed suicide in 1890 at the age of 37. Over the 130 years since his death, there has been much speculation about the underlying illness of Vincent van Gogh. Many of his contemporary physicians felt that he had a form of epilepsy as the cause of his sudden "attacks". By the last quarter of the 19th century, science and medicine were moving rapidly forward, and there were many medical conditions that had effective treatments. One example is the use of digoxin for the treatment of heart failure, and another is the discovery of potassium bromide for seizures. This paper provides an overview of van Gogh's mental illness, the treatments that were offered by his contemporaneous physicians, and the role that these factors may have influenced his paintings.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.087 | 0.020 |
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".