Satire et sociabilité au coeur de la pratique caricaturale de Lady Dalhousie (1786-1839) : vers une histoire des femmes caricaturistes britanniques
Bibliographic record
Abstract
In 1987, the archivist Marie Elwood published a paper discussing her research in Scotland, which led to the repatriation of Lord Dalhousie’s collection and the discovery of five caricatures painted by Lady Dalhousie during her Canadian sojourn from 1816 to 1828. Since then, nothing has been written on the subject matter, the humour, and the sociability that these caricatures involved, a lack this paper aims to fill. What was the target of Dalhousie’s satirical gaze? Was it common for an aristocratic woman such as Dalhousie to paint caricatures? In order to provide answers to these questions, I will examine the caricatural strategies employed by Lady Dalhousie as well as her satirical perspective. Finally, I will consider the sociability that surrounded the display of these images by relating Dalhousie to other British women who contributed to the creation and the circulation of caricatures during the eighteenth and nineteenth centuries.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.027 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".