ARRANCA EL FESTIVAL INTERNACIONAL DE TEATRO UNIVERSITARIO. AMPLIO REPERTORIO, PROPUESTAS Y GÉNEROS DIVERSOS
Bibliographic record
Abstract
EL FESTIVAL INTERNACIONAL DE TEATRO UNIVERSITARIO (FITU) HA SIDO UN INSTRUMENTO VALIOSO PARA FOMENTAR LA CREACION, PRODUCCION Y DIFUSION DE LAS ARTES ESCENICAS ENTRE LA COMUNIDAD ESTUDIANTIL. ANO CON ANO LA RESPUESTA DEL PUBLICO SE HA INCREMENTADO EN ALCANCE E IMPACTO. MUCHOS DE LOS JOVENES QUE HAN PARTICIPADO SON ACTUALMENTE DESTACADOS ACTORES, ACTRICES, DIRECTORES, ESCENOGRAFOS Y DRAMATURGOS. EL FITU LLEGA EN ESTE 2019 A SU EDICION 26, Y SE REALIZARA DEL 9 AL 17 DE FEBRERO EN DIFERENTES RECINTOS DEL CENTRO CULTURAL UNIVERSITARIO, CON PRESENTACIONES DE OBRAS, CONFERENCIAS, TALLERES, LECTURAS DRAMATIZAS Y ACTIVIDADES PARALELAS CON EL PROPOSITO DE PROMOVER Y DIFUNDIR EL TEATRO COMO UN INSTRUMENTO INNOVADOR EN LA PERCEPCION DE LA REALIDAD SOCIAL, Y COMO MEDIO PARA FAVORECER LA FORMACION PERSONAL Y PROFESIONAL DEL ESTUDIANTE DE LAS ARTES ESCENICAS. LA MUESTRA MAS IMPORTANTE EN EL AMBITO NACIONAL INTEGRA A SU PROGRAMA EN ESTA OCASION UN TOTAL DE 20 OBRAS REPRESENTADAS POR ALUMNOS DE NIVEL BACHILLERATO, SUPERIOR Y DE ESCUELAS DE TEATRO DEL PAIS, ASI COMO PIEZAS INVITADAS PROVENIENTES DE AGRUPACIONES DE CANADA, PERU Y ARGENTINA. ES ORGANIZADO POR CULTURA UNAM MEDIANTE LA DIRECCION DE TEATRO. SE DETALLA EL PROGRAMA DE ACTIVIDADES.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.052 | 0.008 |
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".