Representation of 19th century Serbian folk architecture from Banat in the ethnographic village of the Hungarian Millennium Exhibition (1896)
Bibliographic record
Abstract
In the last quarter of the 19th century, national exhibitions had become popular in Hungary as well, following the examples of world exhibitions around Europe. A part of this process was the Hungarian Millennium Exhibition set up in 1896, which mobilised enormous energy and presented the ethnographic values of the region with special emphasis. In the Ethnographic Village of the exhibition, the counties of the country set up valid copies of 24 furnished farmhouses from their regions. Twelve of these houses were intended to present the folk culture of national minorities living in Hungary. The Toront?l County, among other things, exhibited a Serbian house type from Crepaja village and a copy of its furniture, as well as Serbian folk costumes from villages Melenci and Crepaja. A research preceded the exhibition. J?nos Jank?, an ethnographer from Budapest, conducted a fieldwork in the above mentioned settlements in 1894, with the support of the Toront?l County. During his trip, he made notes, photos and drawings. He summarised the results of his research on several occasions. After the closing of the exhibition, the objects were placed in the collection of the then-formed Museum of Ethnography in Budapest, where they can be found even today. In our work, we would like to publish the results of this research and exhibition in a wider context, since these data, drawings and photos, which are mostly unknown for the ethnography and cultural history of the region, originate from the earliest stage of professional ethnographic research in Banat.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".