Bibliographic record
Abstract
BREVE SEMBLANZA DEL DIRECTOR ORIGINARIO DE CHINA, ZUOHUANG CHEN, QUIEN INICIO A TEMPRANA EDAD SUS ESTUDIOS DE PIANO. MAS TARDE, CURSO LA CARRERA DE DIRECCION ORQUESTAL, Y OBTUVO SU PRIMER CONTRATO CON LA ORQUESTA FILARMONICA DE LA CINEMATOGRAFIA CHINA. EN 1977 INGRESO AL CONSERVATORIO CENTRAL DE BEIJING. ENTRE 1992 Y 1996, CHEN FUE DIRECTOR ARTISTICO DE LA FILARMONICA DE RHODE ISLAND Y DE LA SINFONICA DE WICHITA. SE HA DESEMPENADO COMO DIRECTOR HUESPED DE LAS SINFONICAS DE VANCOUVER, HUNGRIA, TAIPEI, HAIFA, XALAPA Y DE LA SINFONICA NACIONAL DE MEXICO; DE LAS ORQUESTAS DE LA RADIO ESLOVACA, DEL FESTIVAL DE TANGLEWOOD, DE LA FUNDACION GULBENKIAN Y DEL TONHALLE DE ZRICH; ASI COMO DE LAS FILARMONICAS DE HONG KONG, RUSIA Y DE LA UNAM. EN 1996 CONTRIBUYO A LA EXPANSION MUSICAL DE SU PATRIA AL FUNDAR LA ORQUESTA SINFONICA NACIONAL DE CHINA; TOMO COMO MODELO LA ORQUESTA FILARMONICA CENTRAL.
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 | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".