Bibliographic record
Abstract
Just as email now dominates written communication, in the 17th century the writing of personal letters became widespread and fashionable. Although letters had long existed, the notion that they could convey private feelings and emotions suddenly captured the popular imagination and transformed personal communication. During this period, not only was Holland the most literate country in Europe and a leading publishing centre, it was also the focus of an explosion of epistolary activity. Seventeenth-century Dutch genre painters became the first to depict anonymous people writing, reading, dispatching and receiving letters. Leading painters like Gerard ter Borch, Gabriel Metsu, Frans van Mieris, Pieter de Hooch and the renowned Johannes Vermeer made the letter a central feature of their scenes of everyday life, defining the subject and creating ravishingly memorable images that would influence generations of painters to come. This catalogue accompanies an exhibition of these paintings appearing at the National Gallery of Ireland, Dublin and the Bruce Museum, Greenwich, Connecticut, tracing the origins of the theme in Holland about 1630 to its full flowering in the third quarter of the century and later manifestations. The book relates the depiction of letter themes to the culture, literature and social history of the Netherlands.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".