Bibliographic record
Abstract
January 22nd, 2016 Ada Gorbunova, piano, performed Haydn: Andante con Variazioni in F minor; Schumann: "Warum?" and "Aufschwung" from Op. 12; Schumann: "Kinderszenen" ("Scenes from Childhood"), Op. 15; Schumann: Novelette, Op. 21, Nr. 8 in F-sharp minor; Schumann: Humoresque, Op. 20 Born in 1986 in Yekaterinburg (Russia) In 2004 finished Special music school in Yekaterinburg and entered the Ural State Conservatoire. In 2011 finished Moscow State Conservatoire.(Post-graduate course in 2014) Master diploma of CNSM de Paris in 2014 Prize-winner of national and international competitions: -National competition “Young talents of Russia” (Moscow, 2006) -International piano competition “Russian season in Ekaterinburg” (Russia, 2008) -14th international piano competition “Premi principat d’Andorra” (Andorra, 2008) -15th international Brest piano competition (category “Chopin”) Brest, France 2010 Duo with Vitali Gavrouc (Aventure piano duo) - 6eme concours de piano à 4 mains in Valberg . France, 2011 - 12th Rotary club Gent piano duo competition (Belgium,2013) - 5th two piano competition "Alexander Bahchiev" in Vologda (Russia,2013) - 12th Dranoff two-piano competition (semi-finalist) in Miami (USA,2013) - 2nd International Rubinstein Chamber Music competition (Moscow,2013) - 2nd International Competition "Lions club Monaco" (Monte-Carlo 2014) - 4th International Chamber music competition "T.Gaisamovitch" (Magnitogorsk, Russia. 2015) International festivals and master-classes with: -Vladimir Krainev, Pascal Devoyon, Brigitte Engerer, Dmitriy Alekseev, Stanislav Pochekin, Felix Gottlieb, Romano Pallottini,as well as with Claire Desert, Emmanuel Strosser and Trio Wanderer (La Roque d'Antheron, (Ensemble en residence- with Vitali Gavrouc) Pianist in Residence in Banff Centre, Canada (2014) Recitals in Russia, Belorussia, Ukraine, Moldova, France, USA, Canada (solo and in chamber ensemble)
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.352 | 0.258 |
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".