The Russian Subject in the Ballet Works of Catterino Cavos
Bibliographic record
Abstract
The article is devoted to the ballet works creat ed by the Italian composer C.A. Cavos in Russia. Over 50 theatrical works of the composer are almost unknown, but they make a signifi cant contribution to the national culture. The study is conducted on the basis of unpublished sour ces from the archives of St. Petersburg and Moscow. The article traces the history of the national subjects of Russian musical professional theater, from the time of Catherine II to the fi rst quarter of the 19th century. There is reviewed the problem of “Russian” subject in the operas, ballets, drama plays with Cavos’s music. A list of those works is compiled, which demonstrates that the composer regularly collaborated with the writer A.A. Shakhovskoy and choreographer Ch. Didelot. The review includes the historical, common, and fairy-magical subjects. The stylistic features of the works are noted (including their reliance on folk material), by the example of Cavos’s ballet divertissements “Militia, or Love for the Fatherland”, “Village Festival”, music to Shakhovskoy’s drama “Falcon of Prince Yaroslav of Tver, or the Betrothed on a White Horse”.
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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".