Bibliographic record
Abstract
The impressive economic performance of Mexico during the first years after signing the North American Free Trade Agreement (NAFTA) with Canada and the United States has generated much interest as an example for other Latin American countries in their transition towards market-led economies. However, there is also evidence of increasing inequalities between regions, economic sectors and social groups, depending on specific local conditions and practices. Detailed case studies are needed to understand why the outcomes are successful in certain specific contexts whereas in others they are not. The object of study concerns the dynamics of development in Coahuila, a state situated in the northeast of Mexico. In particular since the start of NAFTA, Coahuila has become one ofMexicos most successful states in terms of exports, mainly as a result of substantial investments in the automotive and the garment industry. Although these new investments contributed strongly to the growth of gross domestic product, this study proposes a more thorough and critical approach with regard to its regional and social distribution, as well as the sustainability of the dominant development model. Keywords: Free trade, foreign direct investment, regional development, NAFTA, Mexico, Coahuila, export industry, sustainable development.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".