Valor agregado en las exportaciones manufactureras del TLCAN, 2005, 2010 y 2015. Un análisis por subsector
Bibliographic record
Abstract
El objetivo de este trabajo es analizar el comercio bilateral de manufacturas entre los países del Tratado de Libre Comercio de América del Norte (TLCAN) desagregando en interno y externo el valor agregado contenido en las exportaciones de los 16 subsectores manufactureros para los años 2005, 2010 y 2015.A partir de un modelo multirregional de insumo-producto, se determina qué proporción del valor agregado proviene de los socios del TLCAN y se calcula el saldo comercial manufacturero en valor agregado interno.Los resultados revelan que las exportaciones manufactureras mexicanas son las de menor valor agregado interno y que las exportaciones de México y Canadá son altamente dependientes de insumos provenientes de EE.UU. y del resto del mundo.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".