Bibliographic record
Abstract
Abstract In 1960, the world of classic music was witnessing a very strong inter-galactic interaction between the two famous theaters: La Scala and Bolshoi were signing a previously unimaginable pact on the perennial exchange of opera singers and ballet dancers. As a result, a new star generation of Soviet singers and Italian dancers was trained in the herein established inter-galactic stellar nursery throughout the 1960–1980s (Schwartz, 1983). One of them was Maria Bieșu. Originally from a small Moldavian village, Bieșu had started her vocal career in the republic of Moldova before she was selected for the two-year internship in La Scala in 1965 (Vdovina, 1984). It was the turning point in her career, which began escalating upon her repatriation in 1967 and immediate promotion to lead dramatic soprano at Bolshoi. Nostalgic for Italy and feeling sad about the inability to live there, Bieșu was, nevertheless, happy with her Soviet career, rejecting many emigration offers from the West (ibid; Rusakova, 2012). Although her stardom was decades before the era of global elite migrations, she could have indeed become a migrant, seeking political asylum and joining the émigré dissent, if she had wished so. As a star of the Bolshoi, she frequently participated in its tours to Europe and America throughout the 1970–80s, yet always returning to Moscow without a moment of hesitation. In one of her post-Soviet interviews to the press, she noted that she would have never left the Soviet Union for any other country (ibid). As she further explained, the reason for her patriotism had been not her fear of the KGB but the rich symbolism of the Bolshoi, embodying her grand social mobility from peasant to national opera supergiant: “My homeland was always the Soviet Union”, she proudly concluded (ibid).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".