Bibliographic record
Abstract
Con la expansion global de las tecnologias de informacion y comunicaciones en las ultimas decadas del siglo XX, se ha dado paso a la construccion del concepto de economias y sociedades basadas en el conocimiento, para referirse a escenarios que involucran actividades relacionadas con la creacion y difusion en el uso de esas tecnologias. Las visiones de un siglo XXI, caracterizado por actividades asociadas a la llamada nueva economia, suponen dar paso a sociedades y economias donde la innovacion, las tecnologias y los recursos humanos formen un nuevo ambiente de negocios a nivel global, regional y local. La comparacion entre Mexico y Canada es ilustrativa de las grandes diferencias que respecto a la construccion de esas economias basadas en el conocimiento (Knowledge-based Economy, KBE), enfrentan los paises industrializados y los que se consideran mercados emergentes. Particularmente en Canada, la provincia de Alberta ha mantenido una deliberada politica de promocion de actividades de nuevas tecnologias con logros importantes, proyectando su intencion de convertirse en una KBE y erigiendose en un ejemplo de las posibilidades de este tipo de desarrollo.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".