LA UNAM, ABIERTA AL TALENTO INTERNACIONAL. CURSARÁN EL SEMESTRE 506 ALUMNOS EXTRANJEROS
Bibliographic record
Abstract
EN EL SEMESTRE 2017-1 LA UNAM ALBERGARA A 506 ALUMNOS EXTRANJEROS DE 140 CENTROS DE EDUCACION SUPERIOR DE 28 PAISES, QUIENES ELIGIERON ESTA CASA DE ESTUDIOS NO SOLO PARA AMPLIAR SUS CONOCIMIENTOS ACADEMICOS, SINO TAMBIEN POR LAS EXPERIENCIAS CULTURALES, DEPORTIVAS, RECREATIVAS Y PERSONALES QUE PODRAN VIVIR. EN LA CEREMONIA DE RECIBIMIENTO, LOS JOVENES QUE ASISTIRAN A 24 ENTIDADES ACADEMICAS DE LA UNIVERSIDAD ESCUCHARON UN POCO DE LA HISTORIA DE MEXICO Y DE ESTA INSTITUCION, ASI COMO DE LOS SERVICIOS A LOS QUE TENDRAN ACCESO. EN LA BIENVENIDA PARTICIPARON FEDERICO FERNANDEZ CHRISTLIEB, DIRECTOR GENERAL DE COOPERACION E INTERNACIONALIZACION; MARIA LUISA ARIAS MENDOZA, DIRECTORA DE FOMENTO A LA INTERNACIONALIZACION, E IRENE DURANTE MONTIEL, SECRETARIA GENERAL DE LA FACULTAD DE MEDICINA (FM). EN LA SESION, EFECTUADA EN EL AUDITORIO RAOUL FOURNIER VILLADA DE LA FM, SE PROYECTARON DOS VIDEOS PARA INTRODUCIR A LOS NUEVOS UNIVERSITARIOS EN ASPECTOS IMPORTANTES DE LA CULTURA MEXICANA Y DE LA UNAM. TAMBIEN SE LES HABLO SOBRE EL PROCESO A SEGUIR COMO ALUMNOS DE INTERCAMBIO Y LA OFERTA DEPORTIVA Y CULTURAL. ASIMISMO, RECIBIERON ORIENTACION DE LOS INTEGRANTES DE LA RED DE EXBECARIOS ANFITRIONES DE LA DIRECCION GENERAL DE COOPERACION E INTERNACIONALIZACION. AL FINAL, HICIERON UNA VISITA GUIADA POR EL CAMPUS CENTRAL DE CU. EN ESTA OCASION LOS JOVENES PROVIENEN DE COLOMBIA, ESPANA, PERU, ESTADOS UNIDOS, ALEMANIA, FRANCIA, CHILE, COREA DEL SUR, CHINA, REINO UNIDO, COSTA RICA, ARGENTINA, ECUADOR, CANADA, AUSTRIA, DINAMARCA, PAISES BAJOS, RUSIA, BELGICA, JAPON, PORTUGAL, AUSTRALIA, REPUBLICA CHECA, BOLIVIA, BRASIL, EL SALVADOR, FINLANDIA Y SUIZA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.093 | 0.022 |
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".