Bibliographic record
Abstract
Las economias del Canada, los Estados Unidos y Mexico estan fuertemente unidas entre si, aunque esta union no es equilibrada y tampoco se ha incrementado durante los 25 anos del Tratado de Libre Comercio de America del Norte (TLCAN). El espacio economico que se ha creado en America del Norte ha facilitado el desarrollo de cadenas de valor en estas industrias y esto ha permitido a las empresas enfrentar con exito la fuerte competencia internacional, especialmente la de Asia. Para Mexico, la integracion ha desarrollado mucho la industria exportadora pero no se ha traducido en convergencia en el ingreso con los Estados Unidos y el Canada. Mexico ha aprovechado sus ventajas comparativas, pero no ha conseguido atraer inversiones que aumenten el valor anadido en el pais, ni tampoco aquellas intensivas en actividades de I+D. Ademas, el tipo de industrias que la integracion con America del Norte ha promovido no ha ayudado a la integracion territorial del pais, que continua siendo extremadamente desigual.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 teacher head, 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".