Bibliographic record
Abstract
A PARTIR DE AHORA, 462 ESTUDIANTES DE MOVILIDAD INTERNACIONAL DE 31 NACIONALIDADES DE LOS CINCO CONTINENTES, PERTENECIENTES A 132 UNIVERSIDADES DE 27 PAISES, SE INTEGRARAN DURANTE UN SEMESTRE A 28 ENTIDADES ACADEMICAS DE LA UNIVERSIDAD NACIONAL, SU NUEVA CASA. DEL TOTAL, 23 REPITEN LA EXPERIENCIA, AL QUEDARSE UN SEMESTRE MAS. LOS CHICOS LLEGARON DE ARGENTINA, AUSTRALIA, BRASIL, CANADA, COREA DEL SUR, COSTA RICA, CHILE, CHINA, DINAMARCA, ECUADOR, ESPANA, ESTADOS UNIDOS, FINLANDIA, FRANCIA, JAPON, NORUEGA, PORTUGAL, REINO UNIDO, SUECIA, SUIZA Y URUGUAY, ENTRE OTROS. SE PRESENTAN LOS TESTIMONIOS DE ALGUNOS DE ELLOS: JULIANA RODRIGUEZ, QUIEN ESTUDIA LITERATURA EN LA UNIVERSIDAD DE LOS ANDES, EN BOGOTA, COLOMBIA, QUIEN LLEGO A LA FACULTAD DE FILOSOFIA Y LETRAS; ANDONI OLAETXEA ZABALETA, QUIEN VIENE DE LA UNIVERSIDAD DEL PAIS VASCO, EN ESPANA, DONDE CURSA LA CARRERA DE SOCIOLOGIA Y FORMARA PARTE DE LA COMUNIDAD DE LA FACULTAD DE CIENCIAS POLITICAS Y SOCIALES; FRANCHESSCA CREVANI ORE, QUIEN ES ORIGINARIA DE PERU, ALUMNA DE LA UNIVERSIDAD NACIONAL AGRARIA LA MOLINA, DONDE APRENDE BIOLOGIA Y ESTARA EN LA FACULTAD DE CIENCIAS; Y ANNA-LENA AHLF, QUIEN PERTENECE A LA UNIVERSIDAD DE HAMBURGO, ALEMANIA, Y QUE AQUI CONTINUARA SU LICENCIATURA EN GEOGRAFIA. EN EL ACTO DE BIENVENIDA, TOMAS ROSALES, SECRETARIO ACADEMICO DE LA FACULTAD DE CONTADURIA Y ADMINISTRACION, SEDE DE LA CEREMONIA, REMARCO A LOS ESTUDIANTES QUE SE INTEGRAN A UNA INSTITUCION MULTICENTENARIA, QUE HA DESEMPENADO UN PAPEL PROTAGONICO EN LA HISTORIA Y FORMACION DE MEXICO. EN TANTO, MARIA LUISA ARIAS MENDOZA, DIRECTORA DE FOMENTO A LA INTERNACIONALIZACION DE LA DIRECCION GENERAL DE COOPERACION E INTERNACIONALIZACION, EXPRESO: “HOY SE INTEGRAN A UNA DE LAS COMUNIDADES ACADEMICAS MAS GRANDES DE LATINOAMERICA Y DEL MUNDO, PARA COMPARTIR CON NOSOTROS SUS HISTORIAS DE VIDA Y PARTICIPAR ACTIVAMENTE EN LAS ACTIVIDADES QUE OFRECE”.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".