Learning from the tigers- comparing innovation institutions in rapidly developing economies with Latin America
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Este artículo compara las políticas e instituciones de innovación en Latinoamérica con las economías e instituciones de los tigres de Asia Oriental y de Europa. Encontramos que hay nítidas diferencias en las políticas sobre recursos, priorización y organización de la ciencia y la tecnología entre Latinoamérica y las de los tigres, que tal vez ayuden a explicar el decepcionante desempeño económico de la región en las décadas recientes. El artículo sugiere que es necesaria una sistemática reorganización de la política de innovación en Latinoamérica. Las concordancias de los tigres sugieren que una similar reevaluación no solamente debe considerar niveles de recursos, sino también nuevos marcos institucionales para priorizar, coordinar y comercializar nuevas tecnologías generadoras de mayores beneficios para toda la economía y la sociedad.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it