Bibliographic record
Abstract
POR PRIMERA VEZ, ALUMNOS DE VARIAS FACULTADES DE LA UNIVERSIDAD NACIONAL VIAJARON A CANADA PARA TOMAR EL CURSO INTENSIVO DE INGLES DENOMINADO INVIERNO PUMA. LOS ESTUDIANTES ASISTIERON A LA ESCUELA DE EXTENSION DE LA UNAM, UBICADA EN OTTAWA-GATINEAU, EN EL PERIODO INTERSEMESTRAL DE ENERO, PARA MEJORAR SU NIVEL DE CONOCIMIENTO DE ESE IDIOMA. HASTA AHORA, ESTE TIPO DE CURSOS SE REALIZABA SOBRE TODO EN VERANO. LOS JOVENES TAMBIEN SE FAMILIARIZARON CON LA VIDA INTERNACIONAL, MEDIANTE VISITAS A LAS UNIVERSIDADES DE CARLETON Y DE OTTAWA, E INTERCAMBIARON EXPERIENCIAS CON ALUMNOS LOCALES. FEDERICO FERNANDEZ, DIRECTOR DE LA ESCUELA DE EXTENSION, EXPLICO QUE EL ALOJAMIENTO CORRIO A CARGO DE FAMILIAS CANADIENSES. ADEMAS DE LAS HORAS DE CLASE, EL PROGRAMA ESTUVO CONFORMADO POR TALLERES DE VOCABULARIO Y PRONUNCIACION, ASI COMO DISCUSION EN SESIONES DE CINE DE AQUEL PAIS. ESTE GRUPO, CONSTITUIDO POR ALUMNOS DE LICENCIATURA Y EGRESADOS DE LAS FACULTADES DE CIENCIAS POLITICAS Y SOCIALES, CONTADURIA Y ADMINISTRACION, DERECHO, FILOSOFIA Y LETRAS E INGENIERIA, SE VINCULO DURANTE TRES SEMANAS CON LA CULTURA INVERNAL CANADIENSE. CAMINARON SOBRE RAQUETAS EN UN BOSQUE NEVADO, PATINARON EN LAGOS CONGELADOS Y ASISTIERON A UN PARTIDO DE HOCKEY SOBRE HIELO, JUNTO CON SUS PROFESORES DE INGLES.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.142 | 0.042 |
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".