URGE UN REPLANTEAMIENTO TOTAL EN LA RELACIÓN DIPLOMÁTICA CON EU. MESA DE ANÁLISIS SOBRE LAS ELECCIONES
Bibliographic record
Abstract
ANTE EL TRIUNFO DE DONALD TRUMP EN LAS ELECCIONES PRESIDENCIALES DE ESTADOS UNIDOS (EU), SE REQUIERE UN REPLANTEAMIENTO TOTAL DE LA RELACION DIPLOMATICA DE NUESTRO PAIS CON EL VECINO DEL NORTE, SENALARON ESPECIALISTAS DE LA UNAM REUNIDOS EN LA CASA DE LAS HUMANIDADES. NUESTRA NACION NECESITA UNA VERDADERA POLITICA DE ESTADO ORIENTADA A REPOSICIONARSE EN LA UNION AMERICANA CON LA LABOR DE TODOS LOS SECTORES DE LA SOCIEDAD MEXICANA ORGANIZADA QUE TIENEN VINCULOS CON EU. PERO EL GOBIERNO NO DEBE TRATAR SOLO ESA GRAN POLITICA DE ESTADO, LO TIENE QUE HACER ACOMPANADO POR LAS ORGANIZACIONES EMPRESARIALES, NO GUBERNAMENTALES Y SOCIALES, Y FUNDAMENTALMENTE POR LAS UNIVERSIDADES. ES INDISPENSABLE UNA TAREA DE COORDINACION, ANADIERON. EN UNA MESA DE ANALISIS SOBRE LA ELECCION PRESIDENCIAL EN EU, EN LA QUE JUAN RAMON DE LA FUENTE, EXRECTOR DE LA UNAM Y PRESIDENTE DEL CONSEJO DIRECTIVO DEL INSTITUTO ASPEN MEXICO, DIALOGO CON PAZ CONSUELO MARQUEZ-PADILLA, EXDIRECTORA DEL CENTRO DE INVESTIGACIONES SOBRE AMERICA DEL NORTE (CISAN); FRANCISCO SUAREZ DAVILA, EXSUBSECRETARIO DE HACIENDA Y EXEMBAJADOR DE MEXICO EN CANADA, Y JUAN JOSE BREMER, ESCRITOR Y EXEMBAJADOR DE MEXICO EN ESTADOS UNIDOS, TAMBIEN SE COINCIDIO EN QUE EL TRIUNFO DEL MAGNATE FUE SORPRESIVO .
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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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".