Bibliographic record
Abstract
The subject covers the collection of master paintings of high quality which are a part of altar retabulums dated to the last quarter of 15th and the begining of 16the centuries. They document the artistic development of mining towns in central Slovakia (out of which Kremnica, Banska Štiavnica and Banská Bystrica are the most notable ones). An important part of artistic development formation in the region was taken by Benedictine Monastery in Hronský Beňadik. The conserved resource origins from many anonymous painters. Ouf of them a crucial part belongs mainly to Master of Kremnica (short time ago named Master from Lúčky, in hungarian Jánosréti Mester), and Master Jakub. The biggest response belongs to the masterpiece of Master MS - panels from the former High altar in The Church of St. Catherine in Banská Štiavnica from 1506. The painters workshop existence is not approved by documents. Their activities might be documented only by analysing the masterpieces themselves. At the beginning their typical features were influenced by Little-Poland art (altarpieces created for Dominican and Augustinian Monasteries in Cracow), Lower-Rhine art (Master FVB / Frans van Brugge, Master of the Life of the Virgin / Meister des Marienlebens), Upper-Rhine art (Martin Schongauer) and Swabian art (Bernhard Strigel).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".