Prague Castle and Hradčany in the early modern era. Was extravagance the privilege of the royal court?
Bibliographic record
Abstract
In the almost 90-years' research excavation of Prague Castle and Hradčany (Prague, Czech Republic) a rich collection of find assemblages from early modern (1500-1650) features (market place, cesspits, dumps) has been made. Since the early Middle Ages, Prague Castle has been the centre of the Bohemian state. It was not only the seat of the court and the royal retinue, but as well of the service staff. The bordering quarter of Hradčany was a favoured location of the seats of nobles and clergymen. In a couple of cases, the analysis of iconographic and historical sources has enabled the identification of discrete social environments (craftsmen, imperial staff, nobility, Church). Apart from ceramic finds and Renaissance glass a number of plant macro-remains were helpful in the detailed analysis of individual find assemblages, among them numerous fruit species, medical plants, spices, and tobacco. The correlation between luxury and number of imports on one hand, and social status of their owners on the other, can be thought of on grounds of the long-term survey. At the same time, the find assemblages supplement the research of commercial routes between Prague and other commercial centres, including those oversee.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".