Valor agregado y cadenas globales de las exportaciones entre México, Estados Unidos y Canadá
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
El objetivo del presente trabajo es descomponer por origen y destino el valor agregado contenido en las exportaciones bilaterales de los países integrantes del Tratado entre México, Estados Unidos y Canada (T-MEC) en los años 2005, 2010 y 2015, para identificar así, la proporción del valor agregado interno (VAI) que cada país exporta y el tipo de participación de cada uno en las cadenas de valor de la región. Se utilizó un modelo de insumo-producto en valor-agregado con las matrices interregionales de la Organización para la Cooperación y el Desarrollo Económicos (OCDE) para los años antes mencionados. De esta forma, los resultados obtenidos sugieren que las exportaciones mexicanas son las de mayor valor agregado extranjero (VAE); México y Canadá se han insertado de manera superficial a las cadenas de valor de la región, mientras que EU mantiene cadenas complejas con sus socios comerciales.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it