Jean-Leon Gerome 1824-1904 : a study of a mid-nineteenth century French academic artist
Bibliographic record
Abstract
This thesis is not a monograph on Gerome. Rather it is an analysis of selected paintings and the themes that occur in them. My approach has been iconological, as subject-matter was, for Gerome, the most important aspect of painting. But I have also endeavoured to tie a formal analysis of Gerome's art to its content. Chapter I contains a brief biographical sketch, as most of this information is readily available elsewhere this chapter is quite brief. Chapter II deals with Gerome's neo-greco painting, both for its own sake and to introduce my thesis--that Gerome's painting is an extension of his role as collector and that the world he creates is an extension of the nineteenth-century French interieur. Chapter III continues and expands on this argument and deals with Gerome's ethnographic work and attempts to explain his use of a photographic style. Chapter IV deals with Gerome's serious history paintings and relates them to historiographic discourse in nineteenth-century France. Chapter V, the conclusion, summarizes my arguments.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".