Bibliographic record
Abstract
El Tratado de Libre Comercio de la America del Norte (TLCAN) entre Estados Unidos, Canada y Mexico, ha significado un paso definitivo hacia la conformacion de una entidad politico-economico-cultural, que aspira mantener en el siglo XXI la hegemonia planetaria que detentaron los Estados Unidos en el pasado, mientras que el sur del continente, al tener deficiencias acentuadas en el ambito tecnicocientifico, entre otras limitaciones, inicia la presente centuria con el estatus satelital adquirido entre los siglos XV y XX. En consecuencia, aqui se examinan las tareas pendientes para reducir tal condicion, considerando la evolucion probable del resto del planeta. Abstract The North American Free Trade Agreement (NAFTA) between the United States, Canada and Mexico, is a step towards the formation, in the North American continent, of a political and cultural entity that aims to maintain in the 21st century the global hegemony held by the United States in the twentieth century. Meanwhile, South America, with marked deficiencies at the technical and scientific levels–among other limitations– continued this century with the satellite status acquired between the fifteenth and twentieth centuries. This essay examines the pending tasks to reduce this condition, considering the likely evolution of the rest of the planet.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".