Bibliographic record
Abstract
Las disparidades económicas en Norteamérica se confirman con el análisis de la infraestructura de innovación, particularmente en lo que concierne a las ONG que actúan como constructoras de redes públicas-privadas. Las ONG y las asociaciones civiles que se dedican a la innovación cuentan con una larga tradición en Estados Unidos y Canadá, mientras que enMéxico recientemente comenzaron a emprender actividades de construcción de redes básicas y de intermediación. Dado el contexto inequitativo de las instituciones de innovación en Norteamérica, que cancela la posibilidad de una comparación justa, este artículo provee un análisis de caso de laAlianzaArco enMéxico, una sociedad híbrida que involucra organizaciones civiles, públicas y privadas, que se dedican a promover la innovación regional con base en la ideología de la OCDE. Adicionalmente, se utiliza una metodología de seguimiento de políticas (policy-tracing methodology) para analizar la congruencia de aplicar el modelo de innovación de la OCDE a la situación mexicana.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".