La universidad de la Sudamérica hispanoparlante pierde terreno: un análisis comparado con Oriente Próximo en investigación e innovación
Bibliographic record
Abstract
Sudamérica hispanoparlante y el Oriente Próximo son, dada la magnitud de su producción científico-tecnológica, regiones periféricas en el sistema científico global. No obstante, sus sistemas universitarios se han fortalecido en las últimas décadas. Este artículo compara la evolución de los sistemas universitarios nacionales de la Sudamérica hispanoparlante y el Oriente Próximo en las áreas de investigación e innovación, abarcando las distintas disciplinas del conocimiento científico. Se consideran indicadores de investigación, impacto científico e innovación. Los resultados evidencian que Oriente Próximo, a pesar de sus limitaciones, incrementó la producción científica, la extensión de las redes de colaboración internacional y la transferencia de tecnologías desde la universidad a la industria. De manera opuesta, los países hispanoparlantes de Sudamérica han caído en un estancamiento de su actividad científica y de innovación.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".