INTERNACIONALIZACIÓN DE LA EDUCACIÓN SUPERIOR: EXPERIENCIA DESDE LA ESCUELA DE CIENCIAS GEOGRÁFICAS, UNIVERSIDAD NACIONAL
Bibliographic record
Abstract
El presente artículo presenta la experiencia de la internacionalización y cooperación internacional que se analiza a partir de tres componentes: los instrumentos para la cooperación, las actividades académicas que favorecen la internacionalización y los productos y resultados académicos a partir de las actividades conjuntas. La metodología implicó el uso de fuentes orales como escritas, principalmente los archivos documentales de la ECG. Desde su institucionalización la disciplina Geográfica tiene una impronta en los procesos de internacionalización; en los últimos años los esfuerzos de cooperación internacional desde la Universidad Nacional, ha favorecido el desarrollo de una geografía robusta y actualizada en los nuevos enfoques teóricos metodológicos, con universidades de gran prestigio en Latinoamérica: Brasil, México, Argentina, Chile, Colombia y la tradicional cooperación con países como Estados Unidos, España y Canadá. GLOBALIZATION OF HIGHER EDUCATION: EXPERIENCE OF THE SCHOOL OF GEOGRAPHIC SCIENCES, NATIONAL UNIVERSITY, COSTA RICA ABSTRACT The experience of globalization and international cooperation is analyzed based on three indicators: tools for cooperation, academic activities, and the products and academic results from joint activities. In the School of Geographical Sciences at the National University (UNA), Geography has had a footprint in the process of globalization. The international cooperation efforts by the National University have promoted the development of a solid and updated geography in the new theoretical and methodological approaches along with prestigious universities from Brazil, Mexico, Argentina, Chile, Colombia, as well as the traditional cooperation with countries such as the United States, Canada and Spain.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".