LA MEGARREGIÓN TEXAS-NORESTE DE MÉXICO, EL EJE WINNIPEG-MEGARREGIÓN DE LOS GRANDES LAGOS Y EL CORREDOR T-MEC
Bibliographic record
Abstract
Nos interesa mostrar cómo se están configurando las Zonas Específicas de Intensa Acumulación (ZEIAs) de la Megarregión Binacional Texas-Noreste de México y el eje Winnipeg-Megarregión de Los Grandes Lagos, considerando la ciudad de Chicago como punto neurálgico de dicho eje. Ambas ZEIAs serán articuladas por medio del Corredor T-MEC. A nivel teórico, nos cobijamos en la perspectiva teórica del capitalismo global elaborada por William I. Robinson y en los avances conceptuales que los autores han desarrollado en el Grupo de Trabajo Fronteras, Regionalización y Globalización de CLACSO para explicar la conformación de ZEIAs y espacios globales para la expansión del capital transnacional en el continente americano. Consideramos que la formación de megarregiones y el reciente fortalecimiento de la infraestructura física en los países de América del Norte que las articula, son resultado de un proceso histórico que inició con la reestructuración del sistema capitalista en la década de 1970.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".