The Role of Clusters in the Performance of the Mexican Economy
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 documento sigue un algoritmo que considera diferentes dimensiones de los vínculos entre las industrias de servicios y manufactura para identificar una configuración de clúster para la economía mexicana y analizar su papel en el desempeño económico de las regiones. Se identifican 24 clústeres y se analiza su distribución geográfica, su papel en el crecimiento regional, la evolución de su concentración del empleo y sus efectos indirectos. Los principales hallazgos sugieren que los clústeres orientados a la manufactura tienen una fuerte presencia en los estados del norte del país, mientras que los clústeres orientados a servicios en las entidades del centro. Finalmente, clústeres tales como la fabricación de productos plásticos; servicios de comida y venta al por menor; fabricación de alimentos y bebidas; y la industria automotriz muestran efectos directos e indirectos relativamente altos en la economía.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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