The scribe and drawing-artist Stefan Basov’s ornamentati on (the last quarter of the 16th — the beginning of the 17th centuries)
Bibliographic record
Abstract
The author considers ornamentation, created by the scribe and drawing-artist of the last quarter of the 16th — the beginning of the 17th centuries Stefan Basov. The author studies peculiarities of his artworks using new, proposed by N. P. Parfentjev, element-structural method. The author examines headpieces of the manuscripts, embellished by Stefan, comparing the compositions and elements to the ornaments of the “Large uppercase alphabet” by Dutch artist and engraver of the 15th century I. van Meckenem, heardpieces of the early printed Moscow books and brother Feodor Basov. The new method allowed us to determine the origins of creativity Stefan Basov and to identify the unique features of his art. The results, accompanied by comparative tables, reflect the main techniques of the master in the tradition of the early printed style: rethinking and development of samples, a combination of borrowed and unique elements, the creation of original compositions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".