0091 John Brampton Philpot's Photographs of Fictile Ivory in the Hungarian National Museum
Bibliographic record
Abstract
In the Archeological Archives of the Hungarian National Museum you can find a series of photographs depicting fictile ivory. Made up of 265 items, the series were produced by John Brampton Philpot, born in the UK and settled in Florence in the middle of the 19th century, then donated to the museum by Ferenc Pulszky in 1868. Turned to exile in 1849, Pulszky inherited his belated uncle's valuable ivory collection, which was exhibited in London in 1853. Since technologies which made it possible for sensitive artefacts to be reproduced without any damage done to the original had become available by that time, Pulszky gave authorization, upon request of his colleagues at South Kensington Museum, for the reproduction of his ivory collection. In 1863 Pulszky started to live in Florence, where he got into professional contact with Philpot and is likely to have been instrumental in the making of the above photo series of fictile ivory. Philpot published an individual catalogue of these series, which despite its misspellings and erroneous data has provided great assistance in identifying the photographs from Budapest. Philpot's series of photographs supplied a lot of important information for the European history of photographing and collecting art treasures in the 19th century, and also contributed to the art reproduction movement of the 1850-60s. New technologies (electrotyping, photography) came to play a dominant role in the institutional development of art history, archeology and historic conservation. The network established and widened between the European public and private collections, which enhanced the exchange and the sales of art reproductions, with the intention of serving both educative and scientific aims.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.110 | 0.012 |
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".